Machine Learning

CSCI 567, Fall 2021

Haipeng Luo

ML materials:

• A First Encounter with Machine Learning by Max Welling
• Introduction to Machine Learning by Alex Smola and S.V.N. Vishwanathan
• An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
• A Course in Machine Learning by Hal Daume III
• Bayesian reasoning and machine learning by David Barber
• Pattern Recognition and Machine Learning by Christopher Bishop
• A tutorial by Andrew Moore

• The Matrix Cookbook by Kaare Brandt Petersen and Michael Syskind Pedersen
• Calculus by Gilbert Strang
• Linear Algebra by Gilbert Strang
• Introduction to Probability and Statistics by Jeremy Orloff and Jonathan Bloom

• The official Python Tutorial
• LeetCode