nptel machine learning assignment 5 solution

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Introduction to Machine Learning

₹ 3,000.00

Prof. Balaraman Ravindran IIT Madras

*Additional GST and optional Exam fee are applicable.

Description

Additional information, certification process, course details.

• Reviews (2)

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

INTENDED AUDIENCE

This is an elective course. Intended for senior UG/PG students. BE/ME/MS/PhD

PREREQUISITES

We will assume that the students know programming for some of the assignments.If the students have done introductory courses on probability theory and linear algebra it would be helpful. We will review some of the basic topics in the first two weeks as well.

INDUSTRY SUPPORT

Any company in the data analytics/data science/big data domain would value this course.

ABOUT THE INSTRUCTOR

Prof. Balaraman Ravindran is currently an Professor in Computer Science at IIT Madras and Mindtree Faculty Fellow . He has nearly two decades of research experience in machine learning and specifically reinforcement learning. Currently his research interests are centered on learning from and through interactions and span the areas of data mining, social network analysis, and reinforcement learning.

1. Join the course Learners may pay the applicable fees and enrol to a course on offer in the portal and get access to all of its contents including assignments. Validity of enrolment, which includes access to the videos and other learning material and attempting the assignments, will be mentioned on the course. Learner has to complete the assignments and get the minimum required marks to be eligible for the certification exam within this period.

COURSE ENROLMENT FEE: The Fee for Enrolment is Rs. 3000 + GST

2. Watch Videos+Submit Assignments After enrolling, learners can watch lectures and learn and follow it up with attempting/answering the assignments given.

3. Get qualified to register for exams A learner can earn a certificate in the self paced course only by appearing for the online remote proctored exam and to register for this, the learner should get minimum required marks in the assignments as given below:

CRITERIA TO GET A CERTIFICATE Assignment score = Score more than 50% in at least 9/12 assignments. Exam score = 50% of the proctored certification exam score out of 100 Only the e-certificate will be made available. Hard copies will not be dispatched.”

4. Register for exams The certification exam is conducted online with remote proctoring. Once a learner has become eligible to register for the certification exam, they can choose a slot convenient to them from what is available and pay the exam fee. Schedule of available slot dates/timings for these remote-proctored online examinations will be published and made available to the learners.

EXAM FEE: The remote proctoring exam is optional for a fee of Rs.1500 + GST. An additional fee of Rs.1500 will apply for a non-standard time slot.

5. Results and Certification After the exam, based on the certification criteria of the course, results will be declared and learners will be notified of the same. A link to download the e-certificate will be shared with learners who pass the certification exam.

CERTIFICATE TEMPLATE

Week 1: Introduction: Statistical Decision Theory – Regression, Classification, Bias Variance Week 2: Linear Regression, Multivariate Regression, Subset Selection, Shrinkage Methods, Principal Component Regression, Partial Least squares Week 3: Linear Classification, Logistic Regression, Linear Discriminant Analysis Week 4: Perceptron, Support Vector Machines Week 5: Neural Networks – Introduction, Early Models, Perceptron Learning, Backpropagation, Initialization, Training & Validation, Parameter Estimation – MLE, MAP, Bayesian Estimation Week 6: Decision Trees, Regression Trees, Stopping Criterion & Pruning loss functions, Categorical Attributes, Multiway Splits, Missing Values, Decision Trees – Instability Evaluation Measures Week 7: Bootstrapping & Cross Validation, Class Evaluation Measures, ROC curve, MDL, Ensemble Methods – Bagging, Committee Machines and Stacking, Boosting Week 8: Gradient Boosting, Random Forests, Multi-class Classification, Naive Bayes, Bayesian Networks Week 9: Undirected Graphical Models, HMM, Variable Elimination, Belief Propagation Week 10: Partitional Clustering, Hierarchical Clustering, Birch Algorithm, CURE Algorithm, Density-based Clustering Week 11: Gaussian Mixture Models, Expectation Maximization Week 12: Learning Theory, Introduction to Reinforcement Learning, Optional videos (RL framework, TD learning, Solution Methods, Applications)

BOOKS AND REFERENCES:

• The Elements of Statistical Learning, by Trevor Hastie, Robert Tibshirani, Jerome H. Friedman (freely available online)
• Pattern Recognition and Machine Learning, by Christopher Bishop (optional)

2 reviews for Introduction to Machine Learning

biswajit – March 11, 2022

this is a very good course.

CHETHAN MS – October 14, 2022

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Feedback for Introduction to Machine Learning

Dear student We are glad that you have attended the NPTEL online certification course. We hope you found the NPTEL Online course useful and have started using NPTEL extensively. In this regard, we would like to have a feedback from you regarding our course and whether there are any improvements, you would like to suggest.   We are enclosing an online feedback form and would request you to spare some of your valuable time to input your observations. Your esteemed input will help us in serving you better. The link to give your feedback is : https://goo.gl/forms/LI80jZ9awdRaqrBJ3 We thank you for your valuable time and feedback. Thanks & Regards, NPTEL Team

All the best!!!

Dear Participant, All the best for your final exam. You will do very well.  Don't skip your tomorrow's breakfast!  Best, Course team.

Introduction to Machine Learning :Reminder for Assignment

Dear Participants,  We have received "178" submission for "Assignment 12"so far.  The due date for the Assignment 12 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of "2018-04-18, 23:59 IST" also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

Introduction to Machine Learning : Hall ticket for April 28/29 NPTEL Online Certification exams is now available for download

Dear Candidate: If you have registered and paid successfully for the  April28/29  NPTEL Online certification exams, your Admit Card/Hall ticket is now available at   http://nptelonlinecourses.i itm.ac.in/ Login with your registered Google-enabled account email id (used to access the course on the portal and used for registering for the exam) and its password to access the link. Click on April exam to download the hall ticket(s) for the  April28/29   exams, from the link. 2. You can also download it from the alternate link given below: https://cdn3.digialm.com//EFor ms/configuredHtml/885/54105/lo gin.html     Please try to access both the links to download your hall ticket: if you are not able to find your hall ticket in both the links, kindly write to us at  [email protected]   Note that you will be able to login here, only if you have a valid registration for exams on April 28/29, 2018.   Please download hall ticket, take a print out and along with a original ID card, carry it with you to the exam venue (The exam centre address is displayed in the hall ticket). Read all instructions given in the admit card/ hall ticket carefully and follow them. Download hall tickets for all the exams you have registered for - in case you don't get the hall tickets for any particular course, please write to   [email protected]  . IMPORTANT: 1. Change of shift, course, exam center, exam city is NOT POSSIBLE. 2. You WILL NOT BE ALLOWED to write the exam if you are showing up at the exam center which is not allocated to you by mistake or by intention. 3. Candidates will not be allowed to write the exam without Hall ticket and proper id proof. Proof on the mobile phones or soft copy of hall ticket is NOT PERMITTED. NPTEL Team wishes you the very best for the certification exam.

Dear Participants,  The Due Date For Assignment 11 is already Closed. Assignment 11: Submissions "501"  We have received "83" submissions for "Assignment 12" so far.  The due date for the Assignment 12 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of "2018-04-18, 23:59 IST" also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

Introduction to Machine Learning : Week 12 Feedback

Dear learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. Would help us tremendously in gauging learner experience. Here is the link to the form:  http://nptel.ac.in/noc/nocprofile/super_admin/weekly_feedback/form_login.php Thank you. -NPTEL team

Dear Participants,  We have received "157" submissions for "Assignment 11" so far.  The due date for the Assignment 11 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of  "2018-04-11, 23:59 IST" also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

NOC18: Introduction to Machine Learning- Week 12 content released

Dear Participant, The content for week 12 has been released. Please go through the videos. The content also includes an assignment containing 7 MCQs.  The assignment is due on April 18, 11:55 PM IST. You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading. This is your last assignment for this course. Do Well! All the Best!

Dear Participants,  The Due Date For Assignment 10 is already Closed. Assignment 10: Submissions "504"  We have received "100" submissions for "Assignment 11" So far The due date for the Assignment 11 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of "2018-04-11, 23:59 IST" also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

Introduction to Machine Learning : Week 11 Feedback

Dear Participants,  The Due Date For Assignment 9 is already Closed. Assignment 9: Submissions "554"  We have received "145" submissions for "Assignment 10" So far The due date for the Assignment 10 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of "2018-04-04, 23:59 IST" also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

NOC18: Introduction to Machine Learning- Week 11 content released

Dear Participant, The content for week 11 has been released. Please go through the videos. The content also includes an assignment containing 6 MCQs.  The assignment is due on April 11, 11:55 PM IST. You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading. All the Best!

NOC18: Introduction to Machine Learning- Assignment 6,7,8,9 solution posted

Hi participant, Solutions for assignment 6,7,8 and 9 have been posted on the portal. You can access it from the content of respective weeks. If you are having any doubt regarding the solution feel free to post it on the discussion forum. Regards, Tarun Kumar

Introduction to Machine Learning :Week 10 Feedback

Dear Participants,  We have received "179" submissions for "Assignment 9" so far.  The due date for the Assignment 9 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of "2018-03-28, 23:59 IST." also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

NOC18: Introduction to Machine Learning- Week 10 content released

Dear Participant, The content for week 10 has been released. Please go through the videos. The content also includes an assignment containing 10 MCQs. The assignment also includes programming questions so you are advised to start as early as possible. The assignment is due on April 4, 11:55 PM IST. You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading. All the Best!

Dear Participants,  The Due Date For Assignment 8 is already Closed. Assignment 8: Submissions "571" We have received "89" submissions for "Assignment 9"  so far.  The due date for the Assignment 9 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of "2018-03-28, 23:59 IST." also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

Introduction to Machine Learning : Week 9 Feedback

Dear learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. Would help us tremendously in gauging learner experience. Here is the link to the form: http://nptel.ac.in/noc/nocprofile/super_admin/weekly_feedback/form_login.php Thank you. -NPTEL team

NOC18: Introduction to Machine Learning- Week 9 content released

Dear Participant, The content for week 9 has been released. Please go through the videos. The content also includes an assignment containing 7 MCQs.  The assignment is due on March 28, 11:55 PM IST. You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading. Note: Since this assignment has only 7 questions, try to complete it as soon as possible. The next assignment will include questions based on programming.  All the Best!

Dear Participants,  We have received "174" submissions for "Assignment 8"so far.  The due date for the Assignment 8 is fast approaching,If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of "2018-03-21, 23:59 IST." also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

Dear Participants,  The Due Date For Assignment 7 is already Closed. Assignment 7: completed 708 we have recieved Assignment 8: Submissions "76"so far The due date for the assignment 8 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of "2018-03-21, 23:59" also please note that the marks of the assignments will be considered in evaluation of the final grade.  -NPTEL Team  

NOC 18: Extending registration till March 15th - 1:00 PM

Dear Participant,  There seems to be some technical issue with the exam registration form.  We are trying to find out the reason and resolve the same.  Hence we are extending registration till  March 15, 2018 - 1 pm. Thanks!

Last date for Exam registration extended till March 15, 2018 - 1 pm (Thursday) - Hurry up and register today!!

Dear Candidate, Due to a  technical  issue, there was some problem with the exam form since yesterday. Now the issue has been fixed. The last date for exam registration has been extended  till   March 15, 2018 - 1 pm (Thursday) Last date for making the payment individually -  March 16, 2018 - 1:00 PM  ( Friday ) If you have not yet registered for the exam,  login  to the form and apply for the exam today! If you have filled the form but not done the payment, Please complete the payment before  March 16 1:00 pm . Register for the exam today  at:   http:// nptelonlinecourses.iitm.ac.in/ For other details about exam registration, please check our previous announcement. NOTE :   NO EXTENSIONS BEYOND THESE DATES WILL BE GIVEN. -NPTEL Team

Introduction to Machine Learning : Week 8 Feedback

Dear Participants,  We have received "205" submissions for "Assignment 7" so far.  The due date for the Assignment 7 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of " 2018-03-14, 23:59 IST." also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

NOC18: Introduction to Machine Learning- Week 8 content released

Dear Participant, The content for week 8 has been released. Please go through the videos. The content also includes an assignment containing 10 MCQs.  The assignment is due on March 21, 11:55 PM IST. You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading. All the Best!

Dear Participants,  The Due Date For Assignment 6 is Already Closed  Assignment 6 Submissions:"881" We have received "107" submission for "Assignment 7"so far.  The due date for the Assignment 7 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of " 2018-03-14, 23:59 IST" also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

NOC18: Introduction to Machine Learning- Assignment 5 solution posted

Hi participant, Assignment 5 solution has been posted on the portal. You can access it from the week-5 content. You can also access it through this link . If you are having any doubt regarding the solution feel free to post it on the discussion forum. Regards, Tarun Kumar

Exam and Certificate Format : Introduction to Machine Learning

Exam and Certificate Format  Dear student The certification exam will be conducted at designated centres in the city chosen by you. You have to register for the exam by filling up the form, paying the exam fee, appear in person and score >= 40% to get the certificate. Register for the exam today at:  http://nptelonlinecourses.iitm.ac.in/ Exam registration form closes on  March 14, 2018 - 5 pm (Wednesday). For other details about exam registration, please check our previous announcement. Type of exam: Computer based exam  You will have to appear at the allotted exam centre and produce your Hall ticket and Government Photo Identification Card(Example: Driving License,Passport, PAN card, Voter ID, Aadhaar-ID with your Name, date of birth, photograph and signature) for verification and take the exam in person. You can find the allotted exam center details in the hall ticket. The questions will be on the computer and the answers will have to be entered on the computer; type of questions may include multiple choice questions, fill in the blanks, essay type answers, etc The hall ticket will be available for download tentatively around 10 - 16th April 2018. We will notify the same through email. FINAL CERTIFICATE: The final score = 25% assignment score + 75% final certification exam score. The final score will determine if you will/will not receive a certificate. 1. Final score < 40%:  NO certificate 2. Final score between 40% -59%: Certificate of type  "Successfully completing the course" 3. Final score between 60% -89%: Certificate with tag  "Elite"  printed at the top 4. Final score of 90% and above: Certificate with  "Elite" tag and the gold medal  printed on it. Please click the link here for certificate format:  https://goo.gl/ZogyXm -NPTEL Admin

Introduction to Machine Learning :Week 7 Feedback

Dear Participants,  We have received "260" submissions for "Assignment 6"so far.  The due date for the Assignment 6 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of " 2018-03-07, 23:59 IST." also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

Last date for Exam registration extended - Hurry up and register today!!

Dear Candidates Last date for exam registration has been extended till  March 14, 2018 - 5 pm  ( Wednesday ) Last date for making the payment individually -  March 15, 2018 - 5 PM  ( Thursday ) The certification exam will be conducted at designated centers in the city chosen by you. You have to register for the exam by filling up the form, paying the exam fee and appear in person to get the certificate. Hard and soft copy of Certificate will be awarded only to those candidates who register for the exam, attend the certificate examination and whose Final score > 40% Register for the exam today at:  http://nptelonlinecourses. iitm.ac.in/ For other details about exam registration, please check our previous announcement. -NPTEL Team

NOC18: Introduction to Machine Learning- Week 7 content released

Dear Participant, The content for week 7 has been released. Please go through the videos. The content also includes an assignment containing 10 MCQs. The assignment is due on March 14, 11:55 PM IST. You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading. All the Best! Regards, Course TAs

Dear Participants,  we have Recieved Submission For assignment 5 : 1005 Submission For assignment 6 : 110 so far. The due date for the assignment 6 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of "2018-03-07, 23:59" also please note that the marks of the assignments will be considered in evaluation of the final grade.     -NPTEL Team

Introduction to Machine Learning :Week 6 Feedback

Dear Participants,  Due date for assignment 4 is already closed. Submission for Assignment 4: 1249 We have received "250" submissions for "Assignment 5" so far.  The due date for the Assignment 5 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of "2018-02-28, 23:59 IST." also please note that the marks of the assignments will be considered in evaluation of the final grade.

NOC18: Introduction to Machine Learning- Assignment 2,3,4 solution posted

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NOC18: Introduction to Machine Learning- Week 6 content released

Dear Participant, The content for week 6 has been released. Please go through the videos. The content also includes an assignment containing 10 MCQs.  The assignment is due on March 7, 11:55 PM IST. You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading.  All the Best! Regards, Course TAs

NOC 18: Introduction to Machine Learning -- Lecture on Optimization

Hi, In one of the lecture, Prof. mentions about the Convex optimization tutorial. It can be found on this link . Feel free to post your doubts on the forum. Regards, Course TAs

Dear Participants,  Due date for assignment 1, 2 and 3 are already closed. Submission for Assignment 1: 3306 Submission for Assignment 2: 2265 Submission for Assignment 3: 1482  Submission for Assignment 4: 599 Due date for assignment 4 is "2018-02-23,23:59"If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline We have received "85" submissions for "Assignment 5" so far.  The due date for the assignment 5 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of "2018-02-28,23:59" also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

Assignment 4 deadline has been extended

Hi, Assignment 4 deadline has been extended to Feb 23, 11:55 pm. In future, we will follow the actual schedule (release assignment on Monday with next Wednesday as the deadline). Best, Tarun Kumar

Introduction to Machine Learning:Week 5 Feedback

Introduction to machine learning - reminder for assignment.

Dear Participants,  Due date for assignment 1, 2 and 3 are already closed. Submission for Assignment 1: 3306 Submission for Assignment 2: 2265 Submission for Assignment 3: 1482 We have received "265" submissions for "Assignment 4" so far.  The due date for the assignment 4 is fast approaching. If you are yet to attempt it, do it at the earliest so as not to miss the submission deadline of " 2018-02-21, 23:59 IST." also please note that the marks of the assignments will be considered in evaluation of the final grade.   -NPTEL Team

NOC18: Introduction to Machine Learning- Week 5 content released

Dear Participant, The content for week 5 has been released. Please go through the videos. The content also includes an assignment containing 8 MCQs.  The assignment is due on Feb 28, 11:55 PM IST. You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading.  All the Best! Regards, Course TAs

Week 4 Feedback

Noc18: introduction to machine learning- week 4 content released.

Dear learner, The content for week 4 has been released. Please go through the videos. The content also includes an assignment containing 6 MCQs. There are two theoretical questions (of 1 mark each) and 4 programming questions (of 2 marks each). The assignment is due on Feb 21, 11:55 PM IST. You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading.  We recommend you to use Python as the programming language though we don't restrict you from using any other programming language. For the beginners, following videos may help: 1) iPython for Ubuntu 2) IPython for Windows 3) Get started with sklearn Feel free to ask any questions on the forum.   All the Best! Regards, Tarun Kumar

NOC18: Introduction to Machine Learning- Assignment 1 solution posted

Hi participant, Assignment 1 solution has been posted on the portal. You can access it from the week-1 content. You can also access it through this link . Regards, Tarun Kumar

Assignment 2 deadline has been extended

Hi, Assignment 2 deadline has been extended to Feb 9, 11:55 pm. This extension is because of the late submission date of assignment 1. In future, we will follow the actual schedule (release assignment on Monday with next Wednesday as the deadline). Best, Tarun Kumar

Week 3 Feedback

Dear learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. Would help us tremendously in gauging learner experience. Here is the link to the form:  http://nptel.ac.in/noc/nocprofile/super_admin/weekly_feedback/form_login.php

NOC18: Introduction to Machine Learning- Some common questions

Hi, Here are answers to some common questions being asked on the forum: 1) Assignment 0 It will not be graded. We will grade Assignment 1 to Assignment 12. 2) Assignment 1 Deadline for assignment 1 is Feb 5, 11:50 pm 3) Download course material: (videos, unofficial transcript) http://nptel.ac.in/courses/106106139/1 4) Derivation of Bias-Variance split: https://en.wikipedia.org/wiki/Bias%E2%80%93variance_tradeoff 5) Programming assignments for the course: We will release our first programming assignment with the content of week-4. We don't restrict participants from using any programming language. But we recommend you to use Python - since it has large support from ML related libraries.  6) How and why do we normalize? https://stats.stackexchange.com/questions/41704/how-and-why-do-normalization-and-feature-scaling-work 7) Similarity in clustering There can be different notions of similarity. Later in the course, we will cover this in detail. 8) Joint probability distribution https://en.wikipedia.org/wiki/Joint_probability_distribution Feel free to ask any question :) Regards, NPTEL TAs

NOC18: Introduction to Machine Learning- Week 3 content released

Dear Participants, The content for week 3 has been released. Please go through the videos. The content also includes an assignment containing 10 MCQs.  The assignment is due on Feb 14, 11:59 PM IST. You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading.  All the Best! Regards, Course TAs

Week 2 Feedback

Week 1 feedback.

Dear learner Thank you for enrolling to this NPTEL course and we hope you have gone through the contents for this week and also attempted the assignment. We value your feedback and wish to know how you found the videos and the questions asked - whether they were easy, difficult, as per your expectations, etc We shall use this to make the course better and we can also know from the feedback which concepts need more explanation, etc. Please do spare some time to give your feedback - comprises just 5 questions - should not take more than a minute, but makes a lot of difference for us as we know what the learners feel. Here is the link to the form:  http://nptel.ac.in/noc/nocprofile/super_admin/weekly_feedback/form_login.php Thank you. - NPTEL team

NOC18: Introduction to Machine Learning- Week 2 content released

Dear Participants, The content for week 2 has been released. Please go through the videos. The content also includes an assignment containing 10 MCQs.  The assignment is due on  Feb 7, 11:59 PM IST . Please note that usually assignments are released on Monday and are due the next Wednesday (10 days). You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading.  All the Best! Regards, Course TAs

NOC18: Introduction to Machine Learning- Week 1 content released

Dear Participant, The content for week 1 has been released. Please go through the videos. The content also includes an assignment containing 10 MCQs.  The first assignment is due on Feb 5, 11:55 PM IST . Please note that usually assignments are released on Monday and are due the next Wednesday (10 days). You can make multiple submissions of the assignment and your final submission before the deadline will be considered for grading.  All the Best! Regards, Course TAs

Reminder 1:REGISTER TODAY - CERTIFICATION EXAM FORM IS NOW OPEN!

Dear Student: Here is the much-awaited announcement on registering for the  April 2018 certification exam .  The registration for the certification exam is open only to students who have enrolled in the course. Registration is open from  09th January 2018 (Tuesday) until March 07, 2018 10:00 AM (Wednesday) .  The certification exam registration URL is:  http://nptelonlinecourses.iitm.ac.in/ (If you want to register for the exam for this course, login here using the same email id used to enroll to the course) Dates of exam:  April 28 and April 29, 2018  Session:  [ Forenoon ]   For this course there is no ” Afternoon ” Session. You can register for a maximum of 4 course exams (same day of exam – 2 sessions. Same center will be allocated for both the sessions). Exam Session time:   Forenoon: 9.00 AM -12.00 PM ; Afternoon: 2.00 PM - 5.00 PM Examination Cities:  The exam is to be conducted in several cities across India whose list is available on the registration form.  Click here to access the list of exam cities:   http://nptel.ac.in/pdf/examcities_final.pdf Registration fees:  Rs 1100/ - (Students belonging to the SC/ST category can avail a 50% fee waiver - please select Yes for the SC/ST option and upload the correct Community certificate) Students belonging to the PwD category can avail a 50% fee waiver - please select Yes for the option and upload the relevant Disability certificate. Mode of payment:  Online payment - debit card/credit card/net banking or via SPOC of college HALL TICKET: The hall ticket will be available for download tentatively between  10 - 16th April 2018 . We will confirm the same through an announcement once it is published. Final score on certificate:   25% of assignment score + 75% of certification exam score. Award of certificate:  Hard and soft copy of Certificate will be awarded only to those candidates who register for the exam, attend the certificate examination and whose Final score  >= 40% The final score, assignment score and exam score will be printed on the certificate. The certificate will also have a link to the NPTEL website ( http://nptel.ac.in/noc ), where on logging in, your scores and e-certificate will be available for verification  (Appropriate announcements will be made). Please do regularly submit assignments to get a good final score. IMPORTANT NOTES 1) FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:-  you can add or delete courses and pay separately – till the date when the exam form closes. No changes will be entertained after that.   2) FOR CANDIDATES WHO ARE PAYING VIA THE LOCAL CHAPTER OF YOUR COLLEG E:-  1. In the exam form, you will fill all the details and also upload photo, signature. 2. Ensure that you had selected your college name correctly from the drop-down list in the form. 3. Payment of exam fees - click on the tab - 'PAY VIA SPOC'. The SPOC has to now confirm to NPTEL that he/she will pay fees on your behalf. If the SPOC says NO, you will be intimated via email. Then it becomes your responsibility to come back to the exam form and make the payment. If you do not pay the exam fees within the prescribed time, you will not be able to write the exam. Please read the instructions carefully before submitting the form. In case of any queries please write to us at [email protected] Thanks & Regards, NPTEL TEAM

Assignment 0 - Self evaluation

• <7, we strongly recommend that you take up courses in Linear Algebra and Probability (for example :  Linear Algebra , Probability )
• 8 and above, make sure that you fill in some gaps which might have remained in your understanding of the material. Our tutorials might be helpful in this regard.

Welcome to NPTEL Course: Introduction to Machine Learning

Dear student Welcome to NPTEL Online Courses and Certification! Thank you for signing up for our online course " Introduction to Machine Learning ". We wish you an enjoyable and informative learning experience. The course will begin on January 22,2018. When content is released on the portal, you will get an email alerting you. Please watch the lectures, follow the course regularly and submit all assessments and assignments before the due date. Your regular participation is vital for learning. We will open registration for the exam soon after the course starts. A form has to be filled and the certification exam has a fee, which needs to be paid at the time of registration. Everyone who has signed-up for the course, including those who do not register for the exam, will continue to have access to the course contents. There are two sections on the portal apart from the course content and assignment sections: •    The announcement list which will only have messages from course instructors and teaching assistants - regarding the lessons, assignments, exam registration, hall tickets etc.     •    The discussion forum which is for everyone to ask questions and interact - If you have any questions regarding the technical content in the lectures, any doubts in the assignments or any question related to the exam, registration, hall tickets, results, etc, kindly write about this in the forum and the course instructor/TA will respond to it. Please use this well and participate to benefit from the course. Details regarding the course: Name of the course: Introduction to Machine Learning Course url: https://onlinecourses.nptel.ac.in/noc18_cs26/ Course duration :12 Weeks Date and Time of Exams: April 28 (Saturday) and April 29 (Sunday) : Morning session 9am to 12 noon; Exam for this course will be available in one session on both 28 and 29 April. Final List of exam cities will be available in exam registration form. Exam registration url - Will be announced shortly Once again, thank you for your interest in our online courses and certification. Happy learning - NPTEL team.". We wish you an enjoyable and informative learning experience.

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NPTEL Introduction to Machine Learning Assignment 5 Answers 2022

NPTEL Introduction to Machine Learning Assignment 5 Answers 2022:-  In This article, we have provided the answers of Introduction to Machine Learning Assignment 5 You must submit your assignment to your own knowledge.

What is Introduction to Machine Learning?

With the increased availability of data from varied sources, there has been increasing attention paid to the various data-driven disciplines such as analytics and machine learning. In this course, we intend to introduce some of the basic concepts of machine learning from a mathematically well-motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms. CRITERIA TO GET A CERTIFICATE Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100 Final score = Average assignment score + Exam score YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

NPTEL Introduction to Machine Learning Assignment 5 Answers July 2022

Q1. If the step size in gradient descent is too large, what can happen? a. Overfitting b. The model will not converge c. We can reach maxima instead of minima d. None of the above

2. Recall the XOR(tabulated below) example from class where we did a transformation of features to make it linearly separable. Which of the following transformations can also work?

Answers will be Uploaded Shortly and it will be Notified on Telegram, So  JOIN NOW

3. What is the effect of using activation function f(x)=x for hidden layers in an ANN? a. No effect. It’s as good as any other activation function (sigmoid, tanh etc). b. The ANN is equivalent to doing multi-output linear regression. c. Backpropagation will not work. d. We can model highly complex non-linear functions.

4. Which of the following functions can be used on the last layer of an ANN for classification a. Softmax b. Sigmoid c. Tanh d. Linear

5. Statement:  Threshold function cannot be used as activation function for hidden layers. Reason:  Threshold functions do not introduce non-linearity. a. Statement is true and reason is false. b. Statement is false and reason is true. c. Both are true and the reason explains the statement. d. Both are true and the reason does not explain the statement.

6. We use several techniques to ensure the weights of the neural network are small (such as random initialization around 0 or regularisation). What conclusions can we draw if weights of our ANN are high? a. Model has overfitted. b. It was initialized incorrectly. c. At least one of (a) or (b). d. None of the above.

👇 For Week 06 Assignment Answers 👇

7. On different initializations of your neural network, you get significantly different values of loss. What could be the reason for this? a. Overfitting b. Some problem in the architecture c. Incorrect activation function d. Multiple local minima

8. The likelihood L(θ|X) is given by:

9. You are trying to estimate the probability of it raining today using maximum likelihood estimation. Given that in nn days, it rained nrnr times, what is the probability of it raining today?

10. Choose the correct statement (multiple may be correct): a. MLE is a special case of MAP when prior is a uniform distribution. b. MLE acts as regularisation for MAP. c. MLE is a special case of MAP when prior is a beta distribution. d. MAP acts as regularisation for MLE.

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NPTEL Introduction to Machine Learning Assignment 5 Answers Jan 2022

Q1.  The last layer of ANN is linear for _________ and softmax for __________.

👇 FOR NEXT WEEK ASSIGNMENT ANSWERS 👇

Q2.  Consider the following statement and answer True/False with corresponding reason:

The class outputs of a classification problem with a ANN cannot be treated independently

Q3.  Below are two views of a error surface of an ANN (these are 3D plots of the same error function – shown twice with different 2D views for understanding). Pertaining to the plots, what is something you need to keep in mind while training?

Q4.  What happens if we do not use an activation function in an ANN?

Q5.  Given below is a simple ANN with 2 inputs X1, X2 ∈ {0, 1} and edge weights -3, +2, +2

Q6.  Consider the following function.

Q7.  Using the notations used in class, evaluate the value of the neural network with a 3-3-1 archi- tecture (2-dimensional input with 1 node for the bias term in both the layers). The parameters are as follows

Answer:-   f – 0.8414

Q8.  Logistic regression is a special case of ANN with:

Q9.  Which of these are limitations of the backpropagation algorithm?

Answer:- For Answer Click Here

Q10.  Which of these are true about learning rate (multiple may be correct)?

NPTEL Introduction to Machine Learning Assignment 5 Answers 2022:-  In This article, we have provided the answers of Introduction to Machine Learning Assignment 5

Disclaimer :- We do not claim 100% surety of solutions, these solutions are based on our sole expertise, and by using posting these answers we are simply looking to help students as a reference, so we urge do your assignment on your own.

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NPTEL Introduction to Machine Learning Week 5 Assignment Answers 2024

1. Consider a feedforward neural network that performs regression on a p -dimensional input to produce a scalar output. It has m hidden layers and each of these layers has k hidden units. What is the total number of trainable parameters in the network? Ignore the bias terms.

• pk+(m−1)k 2 +k
• p 2 +(m−1)pk+k
• p 2 +(m−1)pk+k 2

4. Which of the following statement(s) about the initialization of neural network weights is/are true?

• Two different initializations of the same network could converge to different minima.
• For a given initialization, gradient descent will converge to the same minima irrespective of the learning rate.
• The weights should be initialized to a constant value.
• The initial values of the weights should be sampled from a probability distribution.

7. Consider a Bernoulli distribution with with p=0.7 (true value of the parameter). We draw samples from this distribution and compute an MAP estimate of p by assuming a prior distribution over p. Which of the following statement(s) is/are true?

• If the prior is Beta(2,6), we will likely require fewer samples for converging to the true value than if the prior is Beta(6,2).
• If the prior is Beta(6,2), we will likely require fewer samples for converging to the true value than if the prior is Beta(2,6).
• With a prior of Beta(2,100), the estimate will never converge to the true value, regardless of the number of samples used.
• With a prior of U(0,0.5)(i.e. uniform distribution between 0 and 0.5), the estimate will never converge to the true value, regardless of the number of samples used.

8. Which of the following statement(s) about parameter estimation techniques is/are true?

• To obtain a distribution over the predicted values for a new data point, we need to compute an integral over the parameter space.
• The MAP estimate of the parameter gives a point prediction for a new data point.
• The MLE of a parameter gives a distribution of predicted values for a new data point.
• We need a point estimate of the parameter to compute a distribution of the predicted values for a new data point.

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NPTEL Introduction to Machine Learning Assignment 5 Answers 2022

• by QuizXp Team
• February 20, 2022 March 25, 2022

Are you looking for the Answers to NPTEL Introduction to Machine Learning Assignment 5 – IIT Madras? This article will help you with the answer to the  Nation al Programme on Technology Enhanced Learning  ( NPTEL )  Course “ NPTEL Introduction to Machine Learning Assignment 5 “

What is Introduction to Machine Learning?

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Below you can find the answers for NPTEL Introduction to Machine Learning Assignment 5

NPTEL Introduction to Machine Learning Assignment 5 Answers:-

Q1. The last layer of ANN is linear for _________ and softmax for __________.

Q2. Consider the following statement and answer True/False with corresponding reason:

The class outputs of a classification problem with a ANN cannot be treated independently

Q3. Below are two views of a error surface of an ANN (these are 3D plots of the same error function – shown twice with different 2D views for understanding). Pertaining to the plots, what is something you need to keep in mind while training?

Q4. What happens if we do not use an activation function in an ANN?

???? Next Week Answers: Assignment 06 ????

Q5. Given below is a simple ANN with 2 inputs X1, X2 ∈ {0, 1} and edge weights -3, +2, +2

Q6. Consider the following function.

Q7. Using the notations used in class, evaluate the value of the neural network with a 3-3-1 archi- tecture (2-dimensional input with 1 node for the bias term in both the layers). The parameters are as follows

Answer:- f – 0.8414

Q8. Logistic regression is a special case of ANN with:

Q9. Which of these are limitations of the backpropagation algorithm?

Q10. Which of these are true about learning rate (multiple may be correct)?

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Disclaimer: We do not claim 100% surety of answers, these answers are based on our sole knowledge, and by posting these answers we are just trying to help students, so we urge do your assignment on your own.

if you have any suggestions then comment below or contact us at  [email protected]

If you found this article Interesting and helpful, don’t forget to share it with your friends to get this information.

NPTEL Introduction to Machine Learning Assignment 5 Answers 2022:- All the Answers provided here to help the students as a reference, You must submit your assignment at your own knowledge.

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NPTEL: Exam Registration is open now for July 2023 courses!

Dear Candidate,

Here is a golden opportunity for those who had previously enrolled in this course during the Jan 2023 semester, but could not participate in the exams or were absent/did not pass the exam for this course. This course is being reoffered in July 2023 and we are giving you another chance to write the exam in October 2023 and obtain a certificate based on NPTEL norms. Do not let go of this unique opportunity to earn a certificate from the IITs/IISc.

IMPORTANT instructions for learners - Please read this carefully  

1. The exam date for this course: Oct 29, 2023

2. CLICK HERE to register for the exam.

Please fill the exam form using the same Enrolled email id & make fee payment via the form, as before.

3. Choose from the Cities where exam will be conducted: Exam Cities

4. You DO NOT have to re-enroll in the courses. 

5. You DO NOT have to resubmit Assignments OR participate in the non-proctored programming exams(if applicable) in the previous semester

6. If you do enroll in the July 2023 course, we will take the best average assignment scores/non-proctored programming exam(if applicable) score across the two semesters.

Please check once if you have >= 40/100  in average assignment score and also participated and satisfied the criteria in the non-proctored programming exams(if applicable) that were conducted in Jan 2023 to become eligible for the e-certificate, wherever applicable.

If not, please submit assignments again in the July 2023 course and also participate in the non-proctored programming exams(if applicable) to become eligible for the e-certificate.

We will not be having new assignments or unproctored exams(if applicable) in the previous semester's (Jan 2023) course. 

RECOMMENDATION: If you want to take new assignments and an unproctored exam(if applicable) or brush up on your lessons for the exam, please enroll in the July 2023 course.

Click here to enroll in the current course, links are provided corresponding to the course name.

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If you register for the exam and pay before Aug 14, 2023, 5:00 PM, Exam fees will be Rs. 1000/- per exam .

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Students belonging to the PwD category with more than 40% disability: please select Yes for the option and upload the relevant Disability certificate. 

9. Last date for exam registration: Aug 18, 2023, 5:00 PM (Friday). 

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12. HALL TICKET: 

The hall ticket will be available for download tentatively by 2 weeks prior to the exam date. We will confirm the same through an announcement once it is published. 

13. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions. 

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We will charge an additional fee of Rs. 200 to make any changes related to name, DOB, photo, signature, SC/ST and PWD certificates after the last date of data changes.

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Every domain will comprise Core courses and Elective courses. Once a learner completes the requisite courses per the mentioned criteria, you will receive a Domain Certificate showcasing your scores and the domain of expertise. Kindly refer to the following link for the list of courses available under each domain: https://nptel.ac.in/domains

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Thank you for learning with NPTEL!!

Dear Learner, Thank you for taking the course with NPTEL!! Hope you enjoyed the journey with us. The results for this course have been published and we are closing this course now.  You will still have access to the contents and assignments of this course, if you click on the course name from the "Mycourses" tab on swayam.gov.in. For any further queries please write to [email protected] . - Team NPTEL

Introduction to Machine Learning : Result Published!!

                                      ***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES***                             ****Please don't click on below link, if you are not registered/not present for the Exam****                          Dear Candidate, The exam scores and E Certificates have been released for April 2023 Exam(s). Step 1 - Are the results of my courses released? Please check the Results published courses list in the below links.:- Apr 2023 Exam - Click here Step 2 - How to check Results? Please login to internalapp.nptel.ac.in/ . and check your exam results. Use the same login credentials as used to register to the exam. What's next? Please read the pass criteria carefully and check against what you have gotten. If you still have any issues, please report the same here. internalapp.nptel.ac.in/ . We will reply within a week. Last date to report queries: 3 days within publishing of scores. Note : Hard copies of certificates will not be dispatched. The duration shown in the certificate will be based on the timeline of offering of the course in 2023, irrespective of which Assignment score that will be considered. Thanks and Best wishes. NPTEL Team

Survey on Problem Solving sessions - Introduction to Machine Learning - (noc23-cs18)

Dear Learners, We would like to know if the expectations with which you attended this problem solving session are being met and hence please do take 2 minutes to fill out our feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:  https://docs.google.com/forms/d/18R3vlAYxYGwda5bbutnUq0R2MSgiMRrbve5cJ7qD5W8/viewform -NPTEL TEAM

Introduction to Machine Learning : Final Feedback Form !!!

Dear students, We are glad that you have attended the NPTEL online certification course. We hope you found the NPTEL Online course useful and have started using NPTEL extensively. In this regard, we would like to have feedback from you regarding our course and whether there are any improvements, you would like to suggest.   We are enclosing an online feedback form and would request you to spare some of your valuable time to input your observations. Your esteemed input will help us in serving you better. The link to give your feedback is: https://docs.google.com/forms/d/1cD0v9YXupkwZMligiNMvxoczy5-iYj21rpSjONuAX54/viewform We thank you for your valuable time and feedback. Thanks & Regards, -NPTEL Team

April 2023 NPTEL Exams - Hall Tickets Released!

***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES***     ****Please don't click on below link, if you are not registered for the Exam**** Dear Candidate, Your Hall Ticket / admit card for the NPTEL Exam(s) in April, 2023 has been released. Please login to https://internalapp.nptel.ac.in/ using your exam registered email id and download your hall ticket. Note:  Requests for changes in exam city, exam center, exam date, session, or course will NOT be entertained. Please write to [email protected] for any further queries. All the best for your exams! Warm Regards NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 12 live now!!

Dear Learner, Assignment 12 solutions are available in the portal, Go through it once . Assignment 12 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=129&lesson=134 -Nptel Team

Introduction to Machine Learning : Problem solving Session Reminder !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:April 22, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 22, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: April 21, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:April 15, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 15, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning : Problem solving Session Updated !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: April 14, 2023 - Friday Time: 04.00 PM - 06.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 11 live now!!

Dear Learner, Assignment 11 solutions are available in the portal, Go through it once . Assignment 11 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=122&lesson=127 -Nptel Team

Week 12 Feedback Form: Introduction to Machine Learning

Dear Learners, Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:    https://docs.google.com/forms/d/12xV5aJuc8r4uCZJVncM-uW6WVEMjFfIw6aSDN58uMbw/viewform Thank you -NPTEL team

Exam Format - April, 2023 !!

Dear Candidate, ****This is applicable only for the exam registered candidates**** Type of exam will be available in the list: Click Here You will have to appear at the allotted exam center and produce your Hall ticket and Government Photo Identification Card (Example: Driving License, Passport, PAN card, Voter ID, Aadhaar-ID with your Name, date of birth, photograph and signature) for verification and take the exam in person.  You can find the final allotted exam center details in the hall ticket. The hall ticket is yet to be released.  We will notify the same through email and SMS. Type of exam: Computer based exam (Please check in the above list corresponding to your course name) The questions will be on the computer and the answers will have to be entered on the computer; type of questions may include multiple choice questions, fill in the blanks, essay-type answers, etc. Type of exam: Paper and pen Exam  (Please check in the above list corresponding to your course name) The questions will be on the computer. You will have to write your answers on sheets of paper and submit the answer sheets. Papers will be sent to the faculty for evaluation. On-Screen Calculator Demo Link: Kindly use the below link to get an idea of how the On-screen calculator will work during the exam. https://tcsion.com/ OnlineAssessment/ ScientificCalculator/ Calculator.html NOTE: Physical calculators are not allowed inside the exam hall. Thank you! -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:April 08, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 08, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 12 content is live now !!

Dear Learners, The lecture videos for Week 12  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=129&lesson=130 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-12  for Week-12  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=129&assessment=171 Assignment-12  for Week-12  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=129&assessment=159 The assignment has to be submitted on or before Wednesday,[19/04/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: April 07, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 10 live now!!

Dear Learner, Assignment 10 solutions are available in the portal, Go through it once . Assignment 10 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=113&lesson=120 -Nptel Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:April 01, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 01, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 11 content is live now !!

Dear Learners, The lecture videos for Week 11  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=122&lesson=123 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-11  for Week-11  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=122&assessment=170 Assignment-11  for Week-11  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=122&assessment=158 The assignment has to be submitted on or before Wednesday,[12/04/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 9 live now!!

Dear Learner, Assignment 9 solutions are available in the portal, Go through it once . Assignment 9 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=104&lesson=110 -Nptel Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 31, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Week 10 Feedback Form: Introduction to Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:March 25, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 25, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 10 content is live now !!

Dear Learners, The lecture videos for Week 10  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=113&lesson=114 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-10  for Week-10  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=113&assessment=169 Assignment-10  for Week-10  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=113&assessment=157 The assignment has to be submitted on or before Wednesday,[05/04/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning : Problem solving Session Postponed!!

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized today (March 24, 2023 - Friday)(06.00 PM - 08.00 PM) is Postponed to March 25, 2023 - Saturday. We invite you to join the session and get your doubts cleared and learn better. Date: March 25, 2023 - Saturday Time:  03.00 PM - 05.00 PM Link to join:  https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 8 live now!!

Dear Learner, Assignment 8 solutions are available in the portal, Go through it once . Assignment 8 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=95&lesson=102 -Nptel Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 24, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Problem solving Session Cancellation!!

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized for the course Introduction to Machine Learning on every  Saturday  from  05.00 PM - 07.00 PM  is cancelled. -NPTEL Team

Potential additional date (April 28th) for the April 2023 NPTEL exams

***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES*** Dear Student, Greetings from NPTEL! The Jan 2023 session is coming to an end soon and it’s time to put all your best efforts for the certification exam. The NPTEL team has always been there to make your learning process a joyful one and we hope that with your support we will be able to overcome the challenges of conducting a nation-wide exam of this magnitude. With the closure of exam registration form for the NPTEL April 2023 exams, the final registration count stands at 5.1 Lakh compared to 3.7 Lakh reported during the Jul-Dec 2022 semester. Based on the previous semester data, seats at the certification exam centres are booked by NPTEL at the beginning of the exam registration process. As the semester progresses, sometimes these numbers exceed our estimate, especially on certain dates and certain exam cities. Our goal is to allocate the chosen exam cities to all our learners. And by and large, we are able to allocate the chosen cities and dates with active support from our exam partner and our partner colleges. All efforts are being made to allocate the city of choice or the next nearest exam city for the April 29th/30th 2023 exams, as scheduled. However, in view of the unexpectedly large volume of exam registrations & limitation of seats at certain cities on a particular date, we may be compelled to shift the exam date of certain candidates to 28th April 2023 (Friday) as a last resort, only after exhausting all possibilities. We hope that you will appreciate our logistical constraints of such rescheduling and extend all necessary support as before and participate in the exam. With best wishes for the forthcoming exam(s), Warm regards, NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 7 live now!!

Dear Learner, Assignment 7 solutions are available in the portal, Go through it once . Assignment 7 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=84&lesson=93 -Nptel Team

Week 9 Feedback Form: Introduction to Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:March 18, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 18, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: March 18, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 9 content is live now !!

Dear Learners, The lecture videos for Week 9  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=104&lesson=105 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-9  for Week-9  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=104&assessment=168 Assignment-9  for Week-9  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=104&assessment=156 The assignment has to be submitted on or before Wednesday,[29/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 17, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Week 8 Feedback Form: Introduction to Machine Learning

We would like to know if the expectations with which you attended this problem solving session are being met and hence please do take 2 minutes to fill out our feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:  https://docs.google.com/forms/d/18R3vlAYxYGwda5bbutnUq0R2MSgiMRrbve5cJ7qD5W8/viewform

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 13, 2023 - Monday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized today (March 11, 2023 - Saturday)(07.00 PM - 09.00 PM) is Postponed to March 13, 2023 - Monday. The G-meet link for the session will be shared before the session. -NPTEL Team

Introduction to Machine Learning - Week 8 content is live now !!

Dear Learners, The lecture videos for Week 8  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=95&lesson=96 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-8  for Week-8  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=95&assessment=164 Assignment-8  for Week-8  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=95&assessment=155 The assignment has to be submitted on or before Wednesday,[22/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:March 11, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 11, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: March 11, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 6 live now!!

Dear Learner, Assignment 6 solutions are available in the portal, Go through it once . Assignment 6 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=71&lesson=82 -Nptel Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 10, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Week 7 Feedback Form: Introduction to Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 05, 2023 - Sunday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 7 content is live now !!

Dear Learners, The lecture videos for Week 7  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=84&lesson=85 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-7  for Week-7  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=84&assessment=167 Assignment-7  for Week-7  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=84&assessment=154 The assignment has to be submitted on or before Wednesday,[15/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized tomorrow (March 4, 2023 - Saturday)(07.00 PM - 09.00 PM) is Postponed to March 5, 2023 - Sunday. The G-meet link for the session will be shared before the session. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:March 04, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 04, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 03, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 5 live now!!

Dear Learner, Assignment 5 solutions are available in the portal, Go through it once . Assignment 5 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=60&lesson=70 -Nptel Team

Week 6 Feedback Form: Introduction to Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:February 25, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: February 25, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: February 25, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 6 content is live now !!

Dear Learners, The lecture videos for Week 6  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=71&lesson=72 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-6  for Week-6  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=71&assessment=163 Assignment-6  for Week-6  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=71&assessment=153 The assignment has to be submitted on or before Wednesday,[08/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: February 24, 2023 - Friday Time:04.30 PM - 06.30 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 4 live now!!

Dear Learner, Assignment 4 solutions are available in the portal, Go through it once . Assignment 4 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=51&lesson=59 -Nptel Team

Week 5 Feedback Form: Introduction to Machine Learning

Introduction to machine learning - week 5 content is live now .

Dear Learners, The lecture videos for Week 5  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=60&lesson=61 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-5  for Week-5  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=60&assessment=162 Assignment-5  for Week-5  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=60&assessment=152 The assignment has to be submitted on or before Wednesday,[01/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:February 18, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: February 18, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: February 18, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 3 live now!!

Dear Learner, Assignment 3 solutions are available in the portal ,Go through it once . Assignment 3 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=42&lesson=49 -Nptel Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: February 17, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Week 4 Feedback Form: Introduction to Machine Learning

Introduction to machine learning - problem solving session recording is available.

Dear Learner, We have uploaded the Recorded videos of the Live Interaction Session - Problem solving Session of Week 1 . Videos are uploaded inside the Separate Unit called " Problem solving Session " along with the slides used wherever applicable. Login to the course on swayam.gov.in to check the same. -NPTEL Team

Introduction to Machine Learning : Problem solving Session

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:February 10, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 2 :  Date: February 10, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Session 3 :  Date: February 10, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 4 content is live now !!

Dear Learners, The lecture videos for Week 4  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=51&lesson=52 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-4  for Week-4  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=51&assessment=166 Assignment-4  for Week-4  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=51&assessment=151 The assignment has to be submitted on or before Wednesday,[22/02/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: February 10, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignments 1 & 2 live now!!

Dear Learner, Assignments 1 & 2 solutions are available in the portal ,Go through it once . Assignment 1 solutions :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&lesson=31 Assignment 2 solutions :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=32&lesson=41 -Nptel Team

Week 3 Feedback Form: Introduction to Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: February 4, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 2 :  Date: February 4, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Session 3 :  Date: February 4, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 3 content is live now !!

Dear Learners, The lecture videos for Week 3  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=42&lesson=43 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-3  for Week-3  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=42&assessment=165 Assignment-3  for Week-3  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=42&assessment=150 The assignment has to be submitted on or before Wednesday,[15/02/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: February 3, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Dear learner, Every week there will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1 :  Start Date: February 3, 2023 When: Every Friday Time: 06.00 PM - 08.00 PM Link to join:  https://meet.google.com/chq-qqbr-fxd Session 2 :  Start Date: February 4, 2023 When: Every Saturday Time: 05.00 PM - 07.00 PM Link to join:   meet.google.com/epj-ejva-hfv Session 3 :  Start Date:  February 4, 2023 When: Every Saturday Time: 07.00 PM - 09.00 PM Link to join:   meet.google.com/aqg-nqgx-mgj Session 4 :  Start Date:  February 4, 2023 When: Every Saturday Time: 03.00 PM - 05.00 PM Link to join:   https://meet.google.com/ajc-ehpn-eey Thank you. -NPTEL team

Week 2 Feedback Form: Introduction to Machine Learning

Introduction to machine learning - week-2 content is live now .

Dear Learners, The lecture videos for Week 2 have been uploaded for the course " Introduction to Machine Learning ".The lectures can be accessed using the following   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=32&lesson=33 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-2 for Week-2 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=32&assessment=161 Assignment-2 for Week-2 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=32&assessment=148 The assignment has to be submitted on or before Wednesday,[08/02/2023], 23:59 IST . As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Week 1 Feedback Form: Introduction to Machine Learning

Dear Learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:  https://docs.google.com/forms/d/12xV5aJuc8r4uCZJVncM-uW6WVEMjFfIw6aSDN58uMbw/viewform Thank you -NPTEL team

Introduction to Machine Learning - Week 1 content is live now !!

Dear Learners, The lecture videos for Week 1 have been uploaded for the course " Introduction to Machine Learning ".The lectures can be accessed using the following   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&lesson=23 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-1 for Week-1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&assessment=160 Assignment-1 for Week-1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&assessment=147 The assignment has to be submitted on or before Wednesday,[08/02/2023], 23:59 IST . As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning - Week-1 video is live now !!

Dear Learners, The lecture videos for Week 1 have been uploaded for the course “Introduction to Machine Learning” . The lectures can be accessed using the following link: Link : https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&lesson=23 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment will be released shortly. As we have done so far, please use the discussion forums if you have any questions on this module. Thanks & Regards   -NPTEL Team

Introduction to Machine Learning - Week 0 content is live now !!

Dear Learners, We welcome you all to this course "Introduction to Machine Learning". The assignment 0 has been released. This assignment is based on a prerequisite of the course. You can find the assignment in the link : https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=16&assessment=146 Please note that this assignment is for practice and it will not be graded. Thanks & Regards   -NPTEL Team

NPTEL: Exam Registration is open now for Jan 2023 courses!

Dear Learner, 

Here is the much-awaited announcement on registering for the Jan 2023 NPTEL course certification exam. 

1. The registration for the certification exam is open only to those learners who have enrolled in the course. 

2. If you want to register for the exam for this course, login here using the same email id which you had used to enroll to the course in Swayam portal. Please note that Assignments submitted through the exam registered email id ALONE will be taken into consideration towards final consolidated score & certification. 

3 . Date of exam: Apr 30, 2023

CLICK HERE to register for the exam. 

Choose from the Cities where exam will be conducted: Exam Cities

4. Exam fees: 

If you register for the exam and pay before Mar 17, 2023, 5:00 PM, Exam fees will be Rs. 1000/- per exam .

5. 50% fee waiver for the following categories: 

6. Last date for exam registration: Mar 17, 2023, 5:00 PM (Friday). 

7. Mode of payment: Online payment - debit card/credit card/net banking/UPI. 

8. HALL TICKET: 

The hall ticket will be available for download tentatively by 2 weeks prior to the exam date . We will confirm the same through an announcement once it is published. 

9. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions. 

10. Data changes: 

Last date for data changes: Mar 17, 2023, 5:00 PM :  

All the fields in the Exam form except for the following ones can be changed until the form closes. 

The following 6 fields can be changed ONLY when there are NO courses in the course cart. And you will be able to edit the following fields only if you: - 

6. What is your role ? 

11. LAST DATE FOR CANCELLING EXAMS and getting a refund: Mar 17, 2023, 5:00 PM  

12. Click here to view Timeline and Guideline : Guideline

Introduction to Machine Learning: Welcome to NPTEL Online Course - Jan 2023!!

• Every week, about 2.5 to 4 hours of videos containing content by the Course instructor will be released along with an assignment based on this. Please watch the lectures, follow the course regularly and submit all assessments and assignments before the due date. Your regular participation is vital for learning and doing well in the course. This will be done week on week through the duration of the course.
• Please do the assignments yourself and even if you take help, kindly try to learn from it. These assignments will help you prepare for the final exams. Plagiarism and violating the Honor Code will be taken very seriously if detected during the submission of assignments.
• The announcement group - will only have messages from course instructors and teaching assistants - regarding the lessons, assignments, exam registration, hall tickets, etc.
• The discussion forum (Ask a question tab on the portal) - is for everyone to ask questions and interact. Anyone who knows the answers can reply to anyone's post and the course instructor/TA will also respond to your queries.
• Please make maximum use of this feature as this will help you learn much better.
• If you have any questions regarding the exam, registration, hall tickets, results, queries related to the technical content in the lectures, any doubts in the assignments, etc can be posted in the forum section
• The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
• The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
• Date and Time of Exams: April 30, 2023  Morning session 9am to 12 noon; Afternoon Session 2 pm to 5 pm.
• Registration URL: Announcements will be made when the registration form is open for registrations.
• The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
• Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.
• Once again, thanks for your interest in our online courses and certification. Happy learning.

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