The first three examples described in Chapter 1 have several components in common. For each there is a set of variables that might be denoted as inputs, which are measured or preset. These have some influence on one or more outputs. For each example the goal is to use the inputs to predict the values of the outputs. This exercise is called supervised learning.
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Hastie, T., Friedman, J., & Tibshirani, R. (2001). Overview of Supervised Learning (pp. 9–40). https://doi.org/10.1007/978-0-387-21606-5_2
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