Mathematical explanations of machine learning concepts for deep understanding
Python and MATLAB code examples for immediate application and experimentation
GitHub repository with code for all examples enables interactive learning
Exercises in each chapter reinforce concepts and build problem-solving skills
Focus on why algorithms succeed helps users trust and apply results properly
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Format: Hardback Length: 324 pages Publication date: 15 May 2025 Publisher: Taylor & Francis Ltd
A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are avail