The Art of Machine Learning
A Hands-On Guide to Machine Learning with R
$72.67
- Paperback
272 pages
- Release Date
13 February 2024
Summary
Learn to expertly apply a range of machine learning methods to real data with this practical guide.
Packed with real datasets and practical examples, The Art of Machine Learning will help you develop an intuitive understanding of how and why ML methods work, without the need for advanced math.
As you work through the book, you’ll learn how to implement a range of powerful ML techniques, starting with the k-Nearest Neighbors (k-NN) method and random forests, and moving…
Book Details
| ISBN-13: | 9781718502109 |
|---|---|
| ISBN-10: | 1718502109 |
| Author: | Norman Matloff |
| Publisher: | No Starch Press,US |
| Imprint: | No Starch Press,US |
| Format: | Paperback |
| Number of Pages: | 272 |
| Release Date: | 13 February 2024 |
| Weight: | 369g |
| Dimensions: | 235mm x 178mm |
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What They're Saying
Critics Review
“In contrast to other books about machine learning, there is a bigger emphasis on programming and usage in practice. In particular, there is an excellent explanation of how to avoid over/under-fitting, and how to use cross-validation. This book is sure to be helpful for students who are interested to understand the core concepts, as well as their practical implementations in R.”—Toby Dylan Hocking, Assistant Professor, Northern Arizona University“The Art of Machine Learning by Norman Matloff is a welcome addition to a growing body of books about machine learning. Matloff, whose career spans both computer science and statistics, addresses the new and exciting field with a fresh approach.”—Dirk Eddelbuettel, Department of Statistics, University of Illinois
About The Author
Norman Matloff
Norman Matloff is an award-winning professor at the University of California, Davis. Matloff has a PhD in mathematics from UCLA and is the author of The Art of Debugging with GDB, DDD, and Eclipse and The Art of R Programming.
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