Subject Code: ID6L004 
Name: Machine Learning and Data AnalyticsI 
LTP: 300 
Credit: 3 
Prerequisite: None 

Text/Reference Books:
1. 
Bishop, C., Pattern Recognition and Machine Learning, Springer, 2006. 
2. 
DaumÃ©, H. III, A Course in Machine Learning, 2015 (freely available online) 
3. 
Hastie, T., R. Tibshirani, J. Friedman, The Elements of Statistical Learning, Springer 2009 (freely available online) 
4. 
Haykin S., Neural Networks and Learning Machines, Third Edition, Prentice Hall, 2008. Goodfellow I.,Bengio Y. and Courville A.; Deep Learning, MIT Press, 2016 
5. 
Shai ShalevShwartz and Shai BenDavid. Understanding Machine Learning: From Theory to Algorithms, Cambridge University Press, 2014. 
6. 
NPTEL lectures on Introduction to Machine Learning. 