Subject Code: ID6L004 |
Name: Machine Learning and Data Analytics-I |
L-T-P: 3-0-0 |
Credit: 3 |
Prerequisite: None |
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Text/Reference Books:
1. |
Bishop, C., Pattern Recognition and Machine Learning, Springer, 2006. |
2. |
Daumé, 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 Shalev-Shwartz and Shai Ben-David. Understanding Machine Learning: From Theory to Algorithms, Cambridge University Press, 2014. |
6. |
NPTEL lectures on Introduction to Machine Learning. |