[ A list of frameworks ]
https://github.com/josephmisiti/awesome-machine-learning
In supervised learning, the machine infers a function from a set of training examples. In unsupervised learning the machine tries to find hidden structure in unlabeled data.
[ Curriculum through online courses ]
http://richardminerich.com/2012/12/my-education-in-machine-learning-via-cousera/
[ List of freely available books ]
http://metaoptimize.com/qa/questions/186/good-freely-available-textbooks-on-machine-learning
http://efytimes.com/e1/fullnews.asp?edid=121516
https://news.ycombinator.com/item?id=7120391
[ Recommendations ]
http://conductrics.com/data-science-resources/
[ SVD old-school video ]
http://www.youtube.com/watch?v=R9UoFyqJca8
[ Guide to online Data Science courses ]
http://www.bigdatarepublic.com/author.asp?section_id=2809&doc_id=257527&
[ More book recommendations from Quora ]
http://www.quora.com/What-are-some-good-resources-for-learning-about-machine-learning-Why
[ Collection of video lectures ]
http://work.caltech.edu/library/
[ Intro book on data mining ]
http://guidetodatamining.com/
http://www.dmi.usherb.ca/~larocheh/mlpython/tutorial.html#tutorial
http://info.usherbrooke.ca/hlarochelle/cours/ift725_A2013/contenu.html
video lectures
http://homepages.inf.ed.ac.uk/vlavrenk/iaml.html
http://videolectures.net/mlss09uk_cambridge/
Data science curriculum
http://www.mysliderule.com/learning-paths/data-analysis/learn/