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    Supervised Learning

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    Categories: Data Science

    A type of machine learning algorithm in which both input and actual output data are provided, and both are labelled as such for classification purposes. The model is then trained to ensure the predicted output is close to the actual output, in order to make similarly trained predictions on unseen data going forward.

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    Dr Justin Chan founded datadriveninvestor.com, a media and tech application platform designed to help fund managers, individual investors and data scientists uncover outstanding sources of alpha from data. Previously, he specialized in strategy development in a number of hedge funds and served as a senior quantitative strategist at GMO. An expert in microstructure, market liquidity, and behavioral finance, Dr. Chan holds a doctoral degree from UCLA and served as a finance professor at Singapore Management University. He can be reached at [email protected]