Download MCA Syllabus 2013 - Christ University

Syllabus 2013MCAUnit V. (12)Graphical Models: Introduction, canonical cases for conditional independence, d-separation,Belief propagation, undirected graph: Markov random field.Reinforcement Learning: Introduction, single state case, elements of reinforcement learning,temporal difference learning, generalization, partially observed state.Text Books:[1] E. Alpaydin, Introduction to Machine Learning. 2nd MIT Press, 2009.Reference Books:[1] K. P. Murphy, Machine Learning: A Probabilistic Perspective. MIT Press, 2012.[2] P. Harrington, Machine Learning in Action. Manning Publications, 2012[3] C. M. Bishop, Pattern Recognition and Machine Learning. Springer, 2011.[4] S. Marsland, Machine Learning: An Algorithmic Perspective. 1st Ed. Chapman and Hall,2009[5] T. Mitchell, Machine Learning. McGraw-Hill, 1997Christ University, Bangalore, India 102