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 core principles of machine learning. The book is ideal for students in higher education and professionals who want to gain insight into advanced data-analysis techniques.
This reference work covers a wide range of logical, geometric, and statistical models, including current topics such as matrix factorization and ROC analysis. Peter Flach explains complex concepts using practical examples, starting with a simple spam filter, and thus builds knowledge systematically.
Particular attention is given to the use of features and the connections between different methods. Thanks to clear explanations, well-chosen case studies, and illustrations, this book is a valuable introduction to machine learning and algorithmic data analysis.
Specifically suited to topics such as machine learning, algorithms, and data structures, this title is suitable for courses and for professionals in data science and related fields.