This document walks through black box variational inference on a very simple model that includes latent gamma-distributed variables. It includes tricks shared by Rajesh Ranganath and code so that readers can replicate the results.
Given for an internal group meeting; contains lots of links. Focuses on topic modeling, but covers a bit for recommendation and social networks.
Generated from Social Security data. Useful for curating a topic model vocabulary.
Java library for recommenation systems. Has links to relevant datasets.
Wide range of topics including biology, finance, NLP, images, sports, ...
A single page printout to inspire significant research in applied machine learning.
Kevin Wayne's extensive list of Princeton-area restaurants, bakeries, and coffee shops.