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In machine learning, bias occurs when results are systematically prejudiced because of errors in the machine learning process that cause the learner to consistently learn the same wrong thing.
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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]
