Start with the MIT linear algebra course (18.06) by Gilbert Strang and Stanford ... | Hacker News

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		dvse on June 12, 2011 \| parent \| context \| favorite \| on: Ask HN: How do I start with Machine Learning? Start with the MIT linear algebra course (18.06) by Gilbert Strang and Stanford course on linear dynamical systems (EE263) by Stephen Boyd. Then move on to Boyd's course on convex optimization (EE364). Lectures for all of these are on youtube. Do not try to read any books on "machine learning" (most of which are a total mess) before you have this background or you will just end up hopelessly confused.

phektus on June 12, 2011 | [–]

Great! thanks for the tip, didn't realize youtube could be a better help to me that most books about the subject at my level

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