Andrew Ng’s machine learn­ing course at Stan­ford is being offered free to any­one online in the (north­ern) fall of 2011. I’ve seen some of the notes from this course and it looks to be an excel­lent broad intro­duc­tion to machine learn­ing and data min­ing. For example, support vec­tor machines, neural net­works, ker­nels, clus­ter­ing, dimen­sion reduc­tion, etc.

Sta­tis­ti­cians should know some­thing about this area (just as com­puter sci­en­tists work­ing in machine learn­ing should know some sta­tis­ti­cal mod­el­ling), and this would be a great way to learn it.

You can already see most of a pre­vi­ous year’s lec­tures on YouTube, on iTunes or on Stan­ford Engi­neer­ing Every­where.

Sign up here

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