<story><title>Introduction to Statistical Learning, with Applications in R</title><url>https://lagunita.stanford.edu/courses/HumanitiesSciences/StatLearning/Winter2016/about</url></story><parent_chain></parent_chain><comment><author>cs702</author><text>The lecturers here, Hastie and Tibshirani, are also the authors of the classic text book, &amp;quot;Introduction to Statistical Learning,&amp;quot; probably the best introduction to machine&amp;#x2F;statistical learning I have ever read.[1]&lt;p&gt;I highly recommend the book and this online course, both of which are FREE.&lt;p&gt;Hastie and Tibshirani&amp;#x27;s other book, &amp;quot;The Elements of Statistical Learning,&amp;quot; is also excellent but far more theoretical, and best for experienced practicioners who want to use it as a reference guide.[2]&lt;p&gt;--&lt;p&gt;[1] &lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;www-bcf.usc.edu&amp;#x2F;~gareth&amp;#x2F;ISL&amp;#x2F;ISLR%20Sixth%20Printing.pdf&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;www-bcf.usc.edu&amp;#x2F;~gareth&amp;#x2F;ISL&amp;#x2F;ISLR%20Sixth%20Printing.p...&lt;/a&gt;
[2] &lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;statweb.stanford.edu&amp;#x2F;~tibs&amp;#x2F;ElemStatLearn&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;statweb.stanford.edu&amp;#x2F;~tibs&amp;#x2F;ElemStatLearn&amp;#x2F;&lt;/a&gt;</text></comment>
<story><title>Introduction to Statistical Learning, with Applications in R</title><url>https://lagunita.stanford.edu/courses/HumanitiesSciences/StatLearning/Winter2016/about</url></story><parent_chain></parent_chain><comment><author>washedup</author><text>Very helpful course, I highly recommend it. If nothing else, get a copy of the book:&lt;p&gt;&lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;www-bcf.usc.edu&amp;#x2F;~gareth&amp;#x2F;ISL&amp;#x2F;ISLR%20Fourth%20Printing.pdf&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;www-bcf.usc.edu&amp;#x2F;~gareth&amp;#x2F;ISL&amp;#x2F;ISLR%20Fourth%20Printing....&lt;/a&gt;&lt;p&gt;Even though the book is introductory material, it explains everything with great clarity. I have yet to find a better resource for someone wanting to get into data science. The theoretical material side-by-side with coded examples is very powerful (although the labs could use some work). Even if you have been using data science for a while, this is a great refresher on theoretical concepts.</text></comment>