Machine Learning For Dummies by John Paul Mueller & Luca Massaron

Author:John Paul Mueller & Luca Massaron [Mueller, John Paul]
Language: eng
Format: azw3
ISBN: 9781119724056
Publisher: Wiley
Published: 2021-01-11T16:00:00+00:00

Both of the topic algorithms — K-means, an unsupervised clustering algorithm; and K-Nearest Neighbors, a supervised regression and classification algorithm — work by leveraging similarities among examples. They offer a good view of advantages and disadvantages of arranging the world into items that are more or less similar.

You don’t have to type the source code for this chapter manually. In fact, using the downloadable source is a lot easier. You can find the source for this chapter in the ML4D2E folder of the downloadable source for Python code and the ML4D2ER folder of the downloadable source for the R code. The example files for this chapter will begin with ML4D2E; 12; (for Python) or ML4D2E_R; 12; (for R). See the Introduction for details on how to find these source files.

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