Consumption List

The following page attempts to list artifacts from all the various information sources I consume.

Fiction and non-fiction reading list

A list of online courses I have done to augment my formal education

Neural Networks at Univeristy of Toronto my personal copy of lectures and recordings by Geoffrey Hinton, Nitish Srivastava and Kevin Swersky. 2014
Bitcoin and Cryptocurrency Technologies by Princeton University on Coursera 2016
Advanced Competitive Strategy by Ludwig Maximilian University of Munich on Coursera 2016
Data Science Specialization by Johns Hopkins Univeristy on Coursera: A collection of 10 courses 2016
Convolutional Neural Networks for Visual Recognition CS231n at Stanford 2017
Natural Language Processing with Deep Learning CS224n at Stanford2018
Self-Driving Car Nanodegree (1/3) by Udacity2018
Deep Reinforcement Learning CS 294-112 at UC Berkeley 2018
Portfolio Selection and Risk Management at Coursera 2018
Operating Systems by Remzi and Andrea Arpaci-Dusseau 2018
Malcom Gladwell on Writing by Masterclass 2019
Bob Iger on Business Strategy and Leadership by Masterclas2019
Distributed Systems by Tim Berglund on O’Reilly 2019
Maximum Entropy Methods by Complexity Explorer2020
Fundamentals of NetLogo by Complexity Explorer2020
Deep Unsupervised Learning CS294-158-SP20 at UC Berkeley 2020 [in progress]
Data-Driven Algorithm Design CS 159 at California Institute of Technology 2020 [in progress]

Not exhaustive, but some of my evergreen favourite (in no particular order)