While machine learning methods have traditionally been used for prediction in fields like industry and technology, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications.  Part 1 discusses core concepts such as prediction accuracy, the bias-variance tradeoff, and cross-validation. Part 2...

While machine learning methods have traditionally been used for prediction in fields like industry and technology, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications.  Part 1 discusses core concepts such as prediction accuracy, the bias-variance tradeoff, and cross-validation. Part...