Diploma Level Course

Machine Learning Techniques

To introduce the main methods and models used in machine learning problems of regression, classification and clustering. To study the properties of these models and methods and learn about their suitability for different problems.

Taught by Arun Rajkumar

Code BSCS2007

Credits 4 Credits

Type Data Science

Prerequisites None

Co-requisites

BSCS2004

Core Competencies

What You'll Learn

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Demonstrating In depth understanding of machine learning algorithms - model, objective or loss function, optimization algorithm and evaluation criteria.
Tweaking machine learning algorithms based on the outcome of experiments - what steps to take in case of underfitting and overfitting.
Being able to choose among multiple algorithms for a given task.
Developing an understanding of unsupervised learning techniques.

12-Week Roadmap

Course Structure & Syllabus

For details of standard term assessment timelines and exam structures, visit our Academics page.

WEEK 1

Introduction; Unsupervised Learning - Representation learning - PCA

WEEK 2

Unsupervised Learning - Representation learning - Kernel PCA

WEEK 3

Unsupervised Learning - Clustering - K-means/Kernel K-means

WEEK 4

Unsupervised Learning - Estimation - Recap of MLE + Bayesian estimation, Gaussian Mixture Model - EM algorithm.

Reading List

Prescribed Books & References

Pattern Classification by David G. Stork, Peter E. Hart, and Richard O. Duda
Pattern Recognition and Machine Learning by Christopher M. Bishop
The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

Faculty & Experts

About the Instructors

Arun Rajkumar

Assistant Professor , Department of Data Science and AI , IIT Madras

Faculty Webpage

I am currently an Assistant Professor at the Data Science and AI department of IIT Madras. Prior to joining IIT Madras, I was a research scientist at the Xerox Research Center (now Conduent Labs), Bangalore for three years. I earned my Ph.D from the Indian Institute of Science where I worked on 'Ranking from Pairwise Comparisons'. My research interests are in the areas of Machine learning, statistical learning theory with applications to education and healthcare.

Other Courses by Instructor:

BSCS2004 • Machine Learning Foundations BSDA5007 • Reinforcement Learning

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