September 2018
Intermediate to advanced
288 pages
7h 38m
English
Supervised learning is a machine learning technique that aims to program a computer system so that it can resolve the relevant tasks automatically. To do this, the input data is included in a set I (typically vectors). Then, the set of output data is fixed as set O, and finally, it defines a function f that associates each input with the correct answer. Such information is called a training set. This workflow is presented in the following diagram:

All supervised learning algorithms are based on the following thesis: if an algorithm provides an adequate number of examples, it will be able to create a derived function
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