Machine Learning
CSCI 567, Spring 2021
Sirisha Rambhatla
General Information

Schedule & Readings

Homework & Quizzes
 Other Resources
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
Math references:
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
Learning Python:
The official Python Tutorial
LeetCode