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.

<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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Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
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Rating: 4
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Publisher: Pearson
Pages: 288
ISBN:978-0137458912
Print:0137458916
Kindle:B099ZNXCJT
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Rating: 4.5
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This book sets out to be a practical guide to database domains, bringing together domain experts, software developers, designers and bus [ ... ]


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