People

• Kate Saenko at UMASS Lowell CS Dept.
• Animashree Anandkumar - UCI
• Nicholas Arcolano - MIT LL
• David Barber - University College London (Bayesian Reasoning and Machine Learning book)
  
• Danny Bickson - CMU
• Jeff Bilmes - Univ. of Washington
• Christopher Bishop - Microsoft Research
  
• Venkat Chandrasekaran - Cal Tech
  
• Flavio Chierichetti - Cornell
  
• Aaron Clauset - UC Boulder
  
• Drew Conway - runs Zia blog
  
• Adnan Darwiche - UCLA
• Richard De Veaux - Williams College
• Pedro Domingos - Univ. of Washington (Course and Alchemy)
• Tim Evans - Imperial College
  
• Emily Fox - University of Washington
  
• Lise Getoor - Maryland
  
• David Gleich - Purdue
  
• Vibhav Gogate - UT Dallas
  
• Carlos Guestrin - CMU
  
• Peter Hoff - University of Washington
  
• Alexander Ihler - UC Irvine
  
• Tommi Jaakkola - MIT
  
• Jon Kleinberg - Cornell
  
• Daphne Koller - Stanford
  
• Vladimir Kolmogorov - IST, Austria
• Amy Langville - College of Charleston
  
• Andrew McCallum - University of Massachusetts
  
• Andrea Montanari - Stanford
  
• Peter Norvig - Google
  
• Peter Orbanz - Cambridge
  
• Asu Ozdaglar - MIT
  
• Ed Scheinerman - Johns Hopkins University
  
• Mark Schmidt - l'Ecole Normale Superieure
  
• Bernhard Scholkopf - Max Planck
• Toby Segaran - Google (author of Programming Collective Intelligence)
• Devavrat Shah - MIT
  
• Tom Snijders - University of Oxford
  
• Ingo Steinwart - Stuttgart
• Erik Sudderth - Brown
  
• Sebastian Thrun - Stanford
  
• Ulrike von Luxburg - Max Planck Institute
  
• Martin Wainwright - UC Berkeley
  
• Tauhid Zaman - University of Pennsylvania
  

Seminar Series - Live and Local

• MIT Probability Seminar
  
• LIDS (MIT)
  

Conferences

• 2014 KDD (New York, Aug 24-27)
  
• 2014 NIPS (Montreal, Dec 8-13)
  
• 2014 SIAM Int Conf on Data Mining (Philadelphia, April 24-26)
  
• 2014 IEEE ICASSP (Florence, May 4-9)
  
• ICML 2012 (Edinburgh, June 26-July 1)
  
• GECCO 2012 (Philadelphia, July 7-11)
  
• AAAI 2012 (Toronto, July 22-26)
  
• UAI 2012 (Catalina Island, California, Aug 15-17)
  
• 2012 IEEE MLSP (Spain, Sep 23-26)
  
• KI 2012 (Saarbrucken, Sep 24-27)
  

Misc.

• Kaggle
  
• Innocentive
  
• PredPol
  
• Generalized Approximate Message Passing (see also here)
  
• Netplexity
  
• AllAnalytics
  
• Amazon Web Services (S3)
  

Machine Learning/PGM

• Artificial Intelligence - Elsevier
  
• JMLR
  
• The Gaussian Processes Web Site
  
• Kernel Machines Web Site
  

Code

• OpenGM
  
• The BUGS Project
  
• VIBES
  
• NodeXL (for Excel)
  
• Bayes Net Toolbox Matlab
  
• NetworkX
  
• GraphLab (Carnegie Mellon)
  
• StOCNET (Boer, Huisman, Snijders, Steglich, Wichers, Zeggelink)
  
• UGM & minFunc MATLAB code (Mark Schmidt)
  
• BRMLtoolbox MATLAB (David Barber)
  
• Gaussian Processes (Rasmussen and Williams)
  
• GRMM (GRaphical Models in Mallet)
  
• MatGraph (Ed Scheinerman)
  

Data

• Data used in the book Elements of Statistical Learning
  
• Data for the 2012 MLSP data competition - 'information security amazon'
  

Python Misc.

• The Python Tutorial
  
• A Quick, Painless Tutorial on the Python Language by Norman Matloff
  
• SQLite Python Tutorial
  
• Beautiful Soup Documentation
  

Labs & Organizations

• Stanford NLP Group
  
• Lemur Project focused on information retrivval and text mining
  
• CMU SLM Toolkit focused on language modeling
  
• Stochastic Systems Group (MIT)
  
• graph-database.org
  
• International Network for Social Network Analysis
  
• Stanford AI Lab
  
• SRI International
  
• Sierra - Machine learning research laboratory at Ecole normale superieure
  
• Statistical Learning and Inference @ UCI
  
• Frey Lab, Prob and Stat Inf Group, Univ of Toronto
  

Social Networking'ish Sites

• Twitter
  
• Pinterest
  
• Facebook
  
• Linkedin
  

Companies

• Yahoo's SANDBOX - demos, groups, experiments, data
  
• Two Crows Consulting
  
• DeepMile
  
• Palantir Technologies
  
• Mandiant
  
• Oracle Social Cloud (used to be Collective Intellect)
  
• Metron
  

Courses

• Coursera
• Yaser S. Abu-Mostafa's ML course from CalTech
• Udacity
• Stanford Engineering Everywhere
• Stanford Introduction To Artificial Intelligence
• Advanced AI, CS721, Spring 2011, UW-Madison CS