So what's the current best reference on the state of the art for machine learning algorithms?
Haha, I believe you start with linear regression — and kinda keep doing that forever; j/k.
I recently bought http://shop.oreilly.com/product/9780596802363.do … as per @emilbayes' recommendation. It's about parsing data without any of the buzzword fluff that seems to otherwise cloud the topic.
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Also nothing beats Andrew Ng’s original coursera course on machine learning. That cause was the single reason I went on to study math
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