« Back to Glossary Index 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 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 justinchan@datadriveninvestor.com.
