Advances in Machine Learning

ISBN: 9781773610672

$180.00

Over the years, research in machine learning has been tracked with variable degrees of intensity, putting diverse approaches and employing emphasis on different, aspects and goals. This book is packed with diverse approaches aims to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The book will be of particular interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is envisioned to both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as an invaluable reference tool for software professionals and practitioners.

Category:
Title:
Advances in Machine Learning
ISBN-13:
9781773610672
Author:
Publisher:
Arcler Press
Published Date:
2018
Binding
Hardback
Pages:
404
Language:
English
Product Dim.:
9 H x 6 W (inches)

Ivan Stanimirovic gained his PhD from University of Niš, Serbia in 2013. His work spans from multi-objective optimization methods to applications of generalized matrix inverses in areas such as image processing and computer graphics and visualisations. He is currently working as an Assistant professor at Faculty of Sciences and Mathematics at University of Niš on computing generalized matrix inverses and its applications.

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About the Author

Ivan Stanimirovic gained his PhD from University of Niš, Serbia in 2013. His work spans from multi-objective optimization methods to applications of generalized matrix inverses in areas such as image processing and computer graphics and visualisations. He is currently working as an Assistant professor at Faculty of Sciences and Mathematics at University of Niš on computing generalized matrix inverses and its applications.

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