Machine Learning Links from Google and http://www.cs.waikato.ac.nz/~bernhard/good-machine-learning-blogs.html
Long, Informative Articles
http://www.swkorridor.dk/en/blogs/machine_learning_applications/
Computer Vision, Image Processing Blog
http://quantombone.blogspot.com/
Causality Blog
http://www.mii.ucla.edu/causality/
Stack Exchange for Statistics
http://stats.stackexchange.com/
Machine Learning News Google Group
https://groups.google.com/forum/?fromgroups#!forum/ml-news
MetaOptimize Stack Exchange
http://metaoptimize.com/qa/
Reddit Machine Learning
http://www.reddit.com/r/machinelearning
Stack Overflow Datamining
http://stackoverflow.com/questions/tagged/data-mining
Stack Overflow Machine Learning
http://stackoverflow.com/questions/tagged/machine-learning
MLoss
http://mloss.org/community/
Software, Machine Learning, Science and Math
Julia language http://julialang.org/blog/
Alexandre Passos’ research blog
http://atpassos.posterous.com/
Real Commentary on Real Machine Learning Techniques & Papers
Anand Sarwate
http://ergodicity.net/
Frequent, Varied articles including ML
Peekaboo Andy’s Computer Vision and Machine Learning Blog
http://peekaboo-vision.blogspot.com/
Andrew Eckford: The Blog
http://andreweckford.blogspot.com/
Lots of notes about conferences
Andrew Rosenberg
http://spokenlanguageprocessing.blogspot.com/
Great Material on NLP and ML
Freakonomics
http://freakonometrics.blog.free.fr/index.php/
Read for fun
Brian Chesney
http://bpchesney.org/
Informative, Numer Analysis, Optimization, ML
Daniel Lemire’s blog
http://lemire.me/blog/
Interesting Thoughts on Science, Software, and Global Warming
Frank Nielsen: Computational Information Geometry Wonderland
http://blog.informationgeometry.org/index.php
Blog on Information Theory, Image Processing, Statistics, …
Igor Carron’s Nuit Blanche
http://nuit-blanche.blogspot.com/
Great blog on Statistics, Modelling Dynamic Systems, Data Mining, Compressive Sensing, Signal Processing, …
Jonathan Manton’s Blog
http://jmanton.wordpress.com/
A mathematician writes numerous in-depth posts on Numerical Analysis, Software, Probability, Teaching, …
Jürgen Schmidhuber’s Home Page
http://www.idsia.ch/~juergen/
Not a blog, but it is a good resource
Paul Mineiro: Machined Learnings
http://www.machinedlearnings.com/
Many posts
Radford Neal’s Blog
http://radfordneal.wordpress.com/
Theory of Statstics and Information Theory
Rob Hyndman: Research tips
http://robjhyndman.com/researchtips/
Forecasting
Rod Carvalho: Stochastix
http://stochastix.wordpress.com/
Math, Probability, Haskell, Numerical Methods,
Roman Shapovalov: Computer Blindness
http://computerblindness.blogspot.com/
Graphical Models, Learning Theory, Computer Vision, ML
Shubhendu Trivedi: Onionesque Reality
http://onionesquereality.wordpress.com/
Personal Blog, Abstract Ideas, Math, ML, …
Suresh: The Geomblog
http://geomblog.blogspot.com/
Teaching, DataMining, ML, Geometry, Computational Geometry
Roman Shapovalov: Computer Blindness
http://computerblindness.blogspot.com/
Graphical Models, Learning Theory, Computer Vision, ML
Sami Badawi: Hadoop comparison
http://blog.samibadawi.com/
Computer Languages, AI, NLP
Shubhendu Trivedi: Onionesque Reality
http://onionesquereality.wordpress.com/
Personal Blog, Abstract Ideas, Math, ML, …
Suresh: The Geomblog
http://geomblog.blogspot.com/
Teaching, DataMining, ML, Geometry, Computational Geometry
Terran Lane: Ars Experientia
http://cs.unm.edu/~terran/academic_blog/?m=201201
ML, Teaching
Terry Tao’s Blog
http://terrytao.wordpress.com/
Anything mathematical — deep