Statistical Decision Theory

Framework for Machine Learning

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In this post, we will discuss some theory that provides the framework for developing machine learning models.

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If we consider a real valued random input vector, X, and a real valued random output vector, Y, the goal is to find a function f(X) for predicting the value of Y. This requires a loss…