Table of Contents

free books and technical guides

S^3's Online learning survey

Information theory and inference by David MacKay One of my favourite textbooks

Convex Optimization by Boyd and Vandenberghe Also available in pdf.

Book on Gaussian Processes in ML

Geoff Hinton's guide on training RBM PDF

Nice advice pages

Kevin Murphy's advice page to grad students from tools tips like latex and matlab to very general advice.

Philip Guo's page fellowship apps, grad school apps, grad student tips, and essays on various topics.

Adam Marcus's guide to grad school

Hamming's guide to research

Original Resources

Ethicist for grad students

My guide to PhD apps for Toronto's EngSci/ECE grads