Machine Learning: The Art and Science of Algorithms that Make Sense of Data by Peter Flach is an English-language textbook that focuses on the principles and practical applications of machine learning. The book is intended for students and professionals who want to work with data analysis and advanced algorithms.
This reference work covers a wide range of methods, from logical and statistical models to modern techniques such as matrix factorization and ROC analysis. Flach uses clear, example-driven explanations and discusses case studies that become progressively more complex, with special attention to the importance of features.
The book combines the art and science of machine learning by linking theoretical backgrounds to practical applications such as spam filters. With its clear structure and the use of appropriate terminology, it is suitable as an introduction and reference within higher education.
Machine Learning connects with fields such as algorithms and data structures, and is useful for programs and professionals working in data science and machine learning.