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Introduction to Machine Learning: Illustrated Principles

Introduction to Machine Learning: Illustrated Principles

Paperback

General Computers

PREORDER - Expected ship date October 31, 2026

ISBN10: 1009672703
ISBN13: 9781009672702
Publisher: Cambridge University Press
Published: Oct 31 2026
Pages: 300
Language: English
Aimed at undergraduate students, this text guides readers through the methods and principles of machine learning in an approachable manner without sacrificing mathematical precision or notation. Step-by-step explanations allow students to grasp complicated mathematical calculations and translate the theory and mathematics into programming and applications. The text presents machine learning concepts visually, and uses example datasets from fictional hippopotamuses and illustrations to explain the material in a unique, but easily understood and engaging way. Worked examples connect the mathematics and algorithms to real-world applications and enable students to utilize this technology in new and ever-changing circumstances. Topics covered include Bayesian reasoning, linear regression and classification, margin-based classification, cross-validation, neural networks, decision trees, clustering and dimensionality reduction. End-of-chapter mathematical exercises and additional coding projects reinforce application and decision-making skills.

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Shelton, Christian R.

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General Computers