Lecture Notes
Data Analytics and Machine Learning
Lecture Notes
Problem Sets
References and Further Reading
Click on linked topics to view lecture notes.
Click on the following links topics for problems.
Paul S.P. Cowpertwait, Andrew V. Metcalfe, Introductory Time Series with R, Springer, 2009
Joshua Eckroth, Python Artificial Intelligence Projects for Beginners, Get up and running with Artificial Intelligence using 8 smart and exciting AI applications, Packt, 2018
Jerome Friedman, Trevor Hatie, Robert Tibshirani, The Elements of Statistical Learning, Data Mining, Inference and Prediction, 2001
Gareth James, Daniela Witte, Trevor Hastie, Robert Tibshirani, An Introduction to Statistical Learning with Applicaitons in R, 2013
Prateek Joshi, Artificial Intelligence with Python, Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you, Packt, 2017
Andreas C. Müller & Sarah Guido, Introduction Machine Learning with Python, A Guide for Data Scientists, O'Reiley, 2016
Cath O'Neil & Rachel Schutt, Doing Data Science, Straight Talk from the Frontline, O'Reilly, 2013