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Introduction to Machine Learning

By Ruye Wang

Introduction to Machine Learning

By Ruye Wang

0 - Default Title
Description
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 problems empower students to develop their own code to implement these algorithms, equipping them with hands-on experience. Matlab coding examples demonstrate how a mathematical idea is converted from equations to code, and provide a jumping off point for students, supported by in-depth coverage of essential mathematics including multivariable calculus, linear algebra, probability and statistics, numerical methods, and optimization. Accompanied online by instructor lecture slides, downloadable Python code and additional appendices, this is an excellent introduction to machine learning for senior undergraduate and graduate students in Engineering and Computer Science.
Product details
Number of Pages:
580
Release Date:
2025-07-31
Publication Date:
2025-11-10
Publisher:
Cambridge University Press
Languages:
Original: English
ISBN10:
1316519503
ISBN13:
9781316519509
Weight:
1271 g
Height:
183 cm
Width:
260 cm
Thickness:
35 cm
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