Assistant Professor
Department of Computer Science and Engineering
IIT Guwahati

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CS562: Machine Learning:

I would be teaching CS 562 in the computer science department Jan - May 2010 semester.

Course Details:
  1. Introduction
  2. Decision Trees
  3. Probability Primer
  4. Bayes Decision Theory
  5. Maximum-likelihood and Bayesian Parameter Estimation
  6. Non-parametric Techniques
  7. Bayes Networks
  8. Optimization Primer
  9. Linear Discriminant Functions
  10. Support Vector Machines
  11. Unsupervised Learning
  12. Semi Supervised Learning
  13. Reinforcement Learning

  1. Pattern Classification , Richard O. Duda, Peter E. Hart and David G. Strok, 2nd Edition, Wiley Interscience
  2. Pattern Recognition , Sergios Theodoridis and Koutroumbas, Academic Press, Third Edition
  3. Machine Learning , Tom M. Mitchell, McGrahill International Editions