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Classification and Regression in Machine Learning

In this short video, Max Margenot gives an overview of supervised and unsupervised machine learning tools. He covers regression and classification, canonical problems in supervised learning. Max gives an intuitive description of the differences between these two problems and gives a brief survey of introductory techniques for statistical modeling in the field. Try out these concepts at http://www.quantopian.com. As always, if there are any topics you would like us to focus on for future videos, please send us a quick note at [email protected]. Disclaimer Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian. In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.