CS6464: Concepts In Statistical Learning Theory  
January  May, 2023 
Textbooks 
V. N. Vapnik; Statistical Learning Theory. Wiley, 1998. 
T. Hastie, R.Tibshirani, J. Friedman, "The Elements of Statistical Learning: Data Mining, Inference and Prediction", Springer Series in Statistics, 2009. 
Kevin R Murphy, "Machine Learning  A Probabilistic Perspective", The MIT Press, 2012. 

References 
Michael J. Kearns and Umesh Vazirani; An Introduction to Computational Learning Theory; The MIT Press, 1994. 
Journal of the Royal Statistical Society: Series B (Statistical Methodology). 
Foundations and Trends in Machine Learning; Now Publishers Inc. 
Journal of Machine Learning Research; JMLR, Inc. and Microtome Publishing (United States). 
Bishop, Christopher M. "Pattern recognition and machine learning", Springer, 2006. 
Conference Proceedings of ICML, NIPS. 
R.O. Duda, P.E. Hart and D.G. Stork "Pattern Classification (2nd ed.)", John Wiley & Sons, Inc., 2003. 

Software Assignment 1
Problem Statement :
Important tutorials links :
Basic R Tutorial
R tutorials in terms of machine learning
Install R and R studio on ubuntu
Install R and R studio on windows
Marks Distribution
Tentative Tutorial Dates
Logistic Details
Important Dates 
End Semester Exam: 
Software Assignment 1: 
Software Assignment 2: 
Self Study Topics