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.

<ASIN:1718502109 >

Author: Norman Matloff
Publisher: No Starch Press
Date: January 2024
Pages: 272
ISBN: 978-1718502109
Print: 1718502109
Kindle: B09BKK9K48
Audience: R developers interested in machine learning
Level: Intermediate
Category: Artificial Intelligence

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