Empirical Approach to Machine Learning

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 i...

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Bibliographic Details
Main Authors: Angelov, Plamen P. (Author), Gu, Xiaowei (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Studies in Computational Intelligence, 800
Subjects:
Computational intelligence.
Pattern recognition systems.
Big data.
Data mining.
Dynamics.
Nonlinear theories.
Computational Intelligence.
Automated Pattern Recognition.
Big Data.
Data Mining and Knowledge Discovery.
Applied Dynamical Systems.
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