Machine Learning Refined: Foundations, Algorithms, and Applications by Jeremy Watt, Reza Borhani, and Aggelos K. Katsaggelos is an English-language printed study book focused on machine learning. This book takes a clear and thorough approach to machine learning, with an emphasis on geometric intuition and algorithmic thinking.
It contains more than 100 practical coding exercises in Python and covers all essential mathematical fundamentals. The text illustrates theories with applications from various fields such as computer vision, natural language processing, economics, and biology. More than 300 color illustrations support understanding of complex concepts.
This book is suitable for professionals and students looking for an in-depth, accessible approach to understanding and applying machine learning. Online resources such as sample code, datasets, and interactive lecture presentations make it a complete package for self-study and courses.
Relevant topics include telecommunications, digital signal processing, and technology & engineering within machine learning.