|The Art of Machine Learning (No Starch Press)
|Monday, 29 January 2024
Subtitled "A Hands-On Guide to Machine Learning with R", this book uses real datasets and practical examples to help the reader develop an understanding of how and why ML methods work, without the need for advanced math. Norman Matloff shows how to implement a range of ML techniques, starting with the k-Nearest Neighbors (k-NN) method and random forests, and moving on to gradient boosting, support vector machines (SVMs) and neural networks.
Author: Norman Matloff
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