An MIT graduate-level introduction to machine learning covering supervised and unsupervised methods, probabilistic models, and related statistical foundations. It is published through MIT OpenCourseWare.

A commenter lists it among MIT courses they consider more relevant than the alternatives, alongside linear algebra and probability.

What commenters said (1)

1. Recommendssnikolov2011in “Ask HN: Quarter-life crisis”

   I would actually suggest another set of MIT courses that I think are more relevant:

   Linear Algebra http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-...

   Probability and Statistics http://ocw.mit.edu/courses/electrical-engineering-and-comput...

   and finally

   Machine Learning http://courses.csail.mit.edu/6.867/

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