Machine Learning - Computer Science at UBC
1.1.1 Types of machine learning Machine learning is usually divided into two main types. In the predictive or supervised learning approach, the goal is to learn a mapping from inputs x to outputs y, given a labeled set of input-output pairs D = {(x i,y i)}N i=1. Here D is called the training set, and N is the number of training examples.
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