Year 1 - First Semester

  & Second   Semester

    *  Course Outlines  *

Books

Authors

Python Data Science Handbook

Jake VanderPlas

Think Python

Allen B Downey

R for Data Science 

Garret Grolemund and Hadley Wickham

Advanced R 

Hadley Wickham

Introduction to Statistical Learning

Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani

The Elements of Statistical Learning

Trevor Hastie, Robert Tibshirani, Jerome Friedman

Understanding Machine Learning- From Theory to Algorithms

Shai Shalev-Shwartz and Shai Ben-David

Mining of Massive Datasets 

Jure Leskovec, Anand Rajaraman, Jeff Ullman

Deep Learning 

Ian Goodfellow, Yoshua Bengio, and Aaron Courville

Bayesian Methods for Hackers

Cam Davidson - Pilon

Data Analytics Made Accessible

Anil Maheshwari

Discrete Mathematics and its Applications

K. H. Rosen

Computer Networking: A Top-Down Approach Featuring the Internet

James F.Kurose and Keith W.Ross

Pattern Recognition and Machine Learning

Christopher Bishop

Operating System Concepts

Silberschatz, P.B. Galvin and G. Gagne