Name: Introduction to Machine Learning. From Math to Code
Price: 238.30 NZD
Availability: InStock
Author: Ruye Wang
ISBN: 9781316519509

portada Introduction to Machine Learning. From Math to Code

Introduction to Machine Learning. From Math to Code

Type

Physical Book

Publisher

Cambridge University Press

Author

Ruye Wang

Year

2025

Pages

578

Format

Hardcover

ISBN13

9781316519509

Introduction to Machine Learning. From Math to Code

Ruye Wang (Author) · Cambridge University Press · Hardcover

New Book Imported to New Zealand

Delivery: 18 Aug - 24 Aug

NZ$ 238.30

Import costs and 15% GST included in the price ✅

NZ$ 238.30

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Synopsis "Introduction to Machine Learning. From Math to Code"

Explore how and why machine learning algorithms work with this self-contained, hands-on textbook for senior undergraduate and graduate students. Using Matlab and Python, it includes over 85 worked examples demonstrating how to implement algorithms, and over 75 end-of-chapter problems empowering students to develop their own code.

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.