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Machine Learning for Stock Selection
Machine learning is an increasingly important and controversial topic in quantitative finance. A lively debate persists as to whether machine learning techniques can be practical investment tools. We describe some of the basic concepts of machine learning and provide a simple example of how investors can use machine learning techiques to forecast the crossection of stock returns while limiting the risk of overfitting.