Machine Learning, 2nd Edition
a concise introduction
$159.11
- Hardcover
432 pages
- Release Date
10 March 2026
Summary
New edition of a PROSE award finalist title on core concepts for machine learning, updated with the latest developments in the field, now with Python and R source code side-by-side
Machine Learning is a comprehensive text on the core concepts, approaches, and applications of machine learning. It presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension redu…
Book Details
| ISBN-13: | 9781394325252 |
|---|---|
| ISBN-10: | 1394325258 |
| Author: | Steven W. Knox |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 432 |
| Edition: | 2nd |
| Release Date: | 10 March 2026 |
| Weight: | 0g |
| Series: | Wiley Series in Probability and Statistics |
About The Author
Steven W. Knox
Steven W. Knox holds a Ph.D. in Mathematics from the University of Illinois and an M.S. in Statistics from Carnegie Mellon University. He has almost thirty years’ experience in using Machine Learning, Statistics, and Mathematics to solve real-world problems. He is currently a Data Science Subject Matter Expert at the National Security Agency, where he has also served as Technical Director of Mathematics Research and in other senior technical and leadership roles.
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