Introduction to Machine Learning
from math to code
$249.56
- Hardcover
668 pages
- Release Date
30 September 2025
Summary
From Theory to Code: A Practical Introduction to Machine Learning
Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level implementation.
- Over 85 thorough worked examples, in both Matlab and Python, demonstrate how algorithms are implemented and applied whilst illustrating the end result.
- Over 75 end-of-chapter probl…
Book Details
| ISBN-13: | 9781316519509 |
|---|---|
| ISBN-10: | 1316519503 |
| Author: | Ruye Wang |
| Publisher: | Cambridge University Press |
| Imprint: | Cambridge University Press |
| Format: | Hardcover |
| Number of Pages: | 668 |
| Release Date: | 30 September 2025 |
| Weight: | 0g |
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About The Author
Ruye Wang
Ruye Wang is an Emeritus Professor of Engineering at Harvey Mudd College, with over thirty years of experience in teaching courses in Engineering and Computer Science. Previously a Principal Investigator at the Jet Propulsion Laboratory, NASA, his research interests include image processing, computer vision, machine learning and remote sensing. He is the author of the textbook Introduction to Orthogonal Transforms (2012).
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