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Название: Empirical Approach to Machine Learning (Studies in Computational Intelligence)
Автор: Plamen P. Angelov, Xiaowei Gu
Издательство: Springer
Год: 2018
Страниц: 423
Формат: PDF, EPUB
Размер: 34 Mb
Язык: English
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.