nptel online course machine learning

Doing an online machine learning course is fun but can be frustrating when the material gets dense. To make things easier I decided to break down the online nptel machine learning course into bite-sized pieces. This effectively breaks down a seemingly hard subject into simple and comprehensible chunks that allows you to learn at your own pace.

nP TEL is India’s top institute for career pundits, teaching and training them various advanced technical skills. They do very useful courses on data science, Java, JavaScript and many more IT technologies in Pune/ Mumbai/ Hyderabad and online.

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.Summary

Course Status :Ongoing
Course Type :Elective
Duration :12 weeks
Start Date :24 Jan 2022
End Date :15 Apr 2022
Exam Date :24 Apr 2022 IST
Enrollment Ends :07 Feb 2022
Category :Computer Science and EngineeringArtificial IntelligenceData ScienceProgrammingRobotics
Credit Points :3
Level :Undergraduate/Postgraduate

This is an AICTE approved FDP course

Course layout

Week 0: Probability Theory, Linear Algebra, Convex Optimization – (Recap)Week 1: Introduction: Statistical Decision Theory – Regression, Classification, Bias VarianceWeek 2: Linear Regression, Multivariate Regression, Subset Selection, Shrinkage Methods, Principal Component Regression, Partial Least squaresWeek 3: Linear Classification, Logistic Regression, Linear Discriminant AnalysisWeek 4: Perceptron, Support Vector MachinesWeek 5: Neural Networks – Introduction, Early Models, Perceptron Learning, Backpropagation, Initialization, Training & Validation, Parameter Estimation – MLE, MAP, Bayesian EstimationWeek 6: Decision Trees, Regression Trees, Stopping Criterion & Pruning loss functions, Categorical Attributes, Multiway Splits, Missing Values, Decision Trees – Instability Evaluation MeasuresWeek 7: Bootstrapping & Cross Validation, Class Evaluation Measures, ROC curve, MDL, Ensemble Methods – Bagging, Committee Machines and Stacking, BoostingWeek 8: Gradient Boosting, Random Forests, Multi-class Classification, Naive Bayes, Bayesian NetworksWeek 9: Undirected Graphical Models, HMM, Variable Elimination, Belief PropagationWeek 10: Partitional Clustering, Hierarchical Clustering, Birch Algorithm, CURE Algorithm, Density-based ClusteringWeek 11: Gaussian Mixture Models, Expectation MaximizationWeek 12: Learning Theory, Introduction to Reinforcement Learning, Optional videos (RL framework, TD learning, Solution Methods, Applications)

Books and references

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

Instructor bio

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Prof. Balaraman Ravindran

IIT MadrasProf. 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.

Course certificate

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: 24 April 2022 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
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.


Average assignment score = 25% of 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 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.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Madras .It will be e-verifiable at

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

– NPTEL team

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