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Representation in Machine Learning
Paperback
Series: Springerbriefs in Computer Science
General ComputersProbability & Statistics
ISBN13: 9789811979071
Publisher: Springer
Published: Jan 21 2023
Pages: 93
Weight: 0.35
Height: 0.22 Width: 6.14 Depth: 9.21
Language: English
This book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning (ML). State-of-the-art practical applications involve a number of challenges for the analysis of high-dimensional data. Unfortunately, many popular ML algorithms fail to perform, in both theory and practice, when they are confronted with the huge size of the underlying data. Solutions to this problem are aptly covered in the book.
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