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Session 01-Machine learning overview, rehearse relavent concepts in statistics, probability, and sampling methods<br>
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<iframe src="https://player.vimeo.com/video/256691886" width="640" height="360" frameborder="0" allowfullscreen="allowfullscreen"></iframe><br>
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Session 02-Regression, Dimension Reduction, and Unsupervised Learning Methods<br>
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<iframe src="https://player.vimeo.com/video/256692010" width="640" height="360" frameborder="0" allowfullscreen="allowfullscreen"></iframe><br>
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Session 03-Supervised Learning Methods: SVM...ecision Trees, and Classifier Ensembles<br>
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<iframe src="https://player.vimeo.com/video/256692192" width="640" height="360" frameborder="0" allowfullscreen="allowfullscreen"></iframe><br>
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Session 04-Learning theories, generalization, and the importance of features<br>
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<iframe src="https://player.vimeo.com/video/256692296" width="640" height="360" frameborder="0" allowfullscreen="allowfullscreen"></iframe><br></div>
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