Resources


Research

A tutorial on reinforcement learning for behavioral modeling, by Jill O'Reilly and Hanneke den Ouden
Reinforcement Learning course, by David Silver
Understanding the bias-variance trade-off, by Scott Fortmann-Roe
Berkeley Deep RL Bootcamp
Monte Carlo algorithms visual demo, by Chi Feng
The missing semester of your CS education
Deep Learning for Computer Vision course, by Justin Johnson
Math3ma, by Tai-Danae Bradley


Teaching

'Quantum' theory of accountability, by Neil Lawrence
Teaching in prison, by Christia Mercer


Photography

What is an F-stop, by Matthew Cole
Brightness, luminance and confusion, by Charles Halsted


Essays

Against interpretation, by Susan Sontag
Shadow cities, by Andre Aciman
The end of solitude, by William Deresiewicz
A brief rant on the future of interaction design, by Bret Victor