Primary reading material would be covering topics from the following. The course slides will be made available on Moodle.

  • Machine Learning: Tom Mitchell, McGrawHill Website Slides

  • Pattern Classification: Duda, Hart and Stork, Wiley Website

  • Pattern Recognition and Machine Learning: Chris Bishop, Springer Website

  • An Introduction to Computational Learning Theory: Kearns and Vazirani, MIT Press (optional) Website