<story><title>Online graduate-level machine learning course from CMU&apos;s Tom Mitchell</title><url>http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml</url></story><parent_chain></parent_chain><comment><author>monk_the_dog</author><text>I&apos;m enrolled in the online Applied ML class from Stanford, and I&apos;ve also been watching this course from CMU (I&apos;m up to the Graphical Model 4 lecture - almost the midterm). If you&apos;ve taken at least one stats class you&apos;ll get much more out of CMU&apos;s class.&lt;p&gt;BTW, here are some good online resources for machine learning:&lt;p&gt;* The Elements of Statistical Learning (free pdf book): &lt;a href=&quot;http://www-stat.stanford.edu/~tibs/ElemStatLearn/&quot; rel=&quot;nofollow&quot;&gt;http://www-stat.stanford.edu/~tibs/ElemStatLearn/&lt;/a&gt;&lt;p&gt;* Information Theory, Inference, and Learning Algorithms (free pdf book): &lt;a href=&quot;http://www.inference.phy.cam.ac.uk/mackay/itila/&quot; rel=&quot;nofollow&quot;&gt;http://www.inference.phy.cam.ac.uk/mackay/itila/&lt;/a&gt;&lt;p&gt;* Videos from Autumn School 2006: Machine Learning over Text and Images: &lt;a href=&quot;http://videolectures.net/mlas06_pittsburgh/&quot; rel=&quot;nofollow&quot;&gt;http://videolectures.net/mlas06_pittsburgh/&lt;/a&gt;&lt;p&gt;* Bonus link. An Empirical Comparison of Supervised Learning Algorithms (pdf paper): &lt;a href=&quot;http://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml06.pdf&quot; rel=&quot;nofollow&quot;&gt;http://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icm...&lt;/a&gt; (Note the top 3 are tree ensembles, then SVM, ANN, KNN. Yes, I know there is no &apos;best&apos; classifier.)</text></comment>
<story><title>Online graduate-level machine learning course from CMU&apos;s Tom Mitchell</title><url>http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml</url></story><parent_chain></parent_chain><comment><author>amirmc</author><text>&lt;i&gt;&quot;To view a video you will have to login with your CMU Andrew username and password, ...&lt;/i&gt;&quot;&lt;p&gt;Also, requires Silverlight (which I don&apos;t fancy installing)&lt;p&gt;Edit: This is the Tom Mitchell that Andrew Ng refers to early on in the Stanford ML lectures (when defining Machine Learning)</text></comment>