Empirical Approach to Machine Learning by Plamen P. AngelovEnglish | PDF,EPUB | 2018 (2019 Edition) | 437 Pages | ISBN : 3030023834 | 34.14 MB
This book provides a ‘one-stop source’ for all readers who are interested in a new, empirical approach to machine learning that, unlike traditional methods, successfully addresses the demands of today’s data-driven world. After an introduction to the fundamentals, the book discusses in depth anomaly detection, data partitioning and clustering, as well as classification and predictors.