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	<title>Thinking Analytically &#187; Statistics</title>
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		<title>Primer on Machine Learning</title>
		<link>http://thinkinganalytically.com/2009/10/primer-on-machine-learning/</link>
		<comments>http://thinkinganalytically.com/2009/10/primer-on-machine-learning/#comments</comments>
		<pubDate>Mon, 12 Oct 2009 03:36:31 +0000</pubDate>
		<dc:creator>John</dc:creator>
				<category><![CDATA[Books]]></category>
		<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://thinkinganalytically.com/?p=169</guid>
		<description><![CDATA[A Beautiful WWW posted a great primer to machine learning. Among the recommendations:

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Amazon or free PDF)
The open source stats package R
Some data sets from UCI Machine Learning Repository
The MIT OpenCourseware machine learning course

Though that&#8217;s enough to get you started, the author promises to [...]]]></description>
			<content:encoded><![CDATA[<p>A Beautiful WWW posted a great <a href="http://abeautifulwww.com/2009/10/11/guide-to-getting-started-in-machine-learning/">primer to machine learning</a>. Among the recommendations:</p>
<ul>
<li>The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (<a href="http://www.amazon.com/gp/product/0387848576?ie=UTF8&amp;tag=johnmichl-20&amp;linkCode=as2&amp;camp=1789&amp;creative=390957&amp;creativeASIN=0387848576">Amazon</a> <a href="http://www-stat.stanford.edu/~hastie/Papers/ESLII.pdf">or free PDF</a>)</li>
<li>The open source stats <a href="http://www.r-project.org/">package R</a></li>
<li>Some data sets from <a href="http://archive.ics.uci.edu/ml/">UCI Machine Learning Repository</a></li>
<li>The MIT OpenCourseware <a href="http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-867Fall-2006/CourseHome/index.htm">machine learning course</a></li>
</ul>
<p>Though that&#8217;s enough to get you started, the author promises to add on as time goes by.</p>
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