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NG Machine Learning -Lecture01

<p>Nov 19, 2009 8:52 PM

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1959 &#160;Art Samuel &#160;checkers program. &#160;was self-taught and could beat him.

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Here's a more recent, a more modern, more formal definition of machine learning due to

Tom Mitchell, who says that a well-posed learning problem is defined as follows: He

says that a computer program is set to <b>learn from an experience E with respect to some

task T and some performance measure P if its performance on T as measured by P

improves with experience E. Okay. So not only is it a definition, it even rhymes. &#160;</b>

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SUPERVISED LEARNING

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&#160;&#160;&#160;&#160;REgression of &#160;HOUSES: &#160;square footage, sales price.

You supply it with the right answer... the sale sprice.

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&#160;&#160;&#160;&#160;Breat Cancer classification vs benign tumors: &#160;X or O &#160;based

on a # of diftt variables.

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Support VECTOR Machines.

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A learning theorem for reading zip codes ... can prove that it will be 99.9 % accurate.</p>

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