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Representation in Machine Learning

Language EnglishEnglish
Book Paperback
Book Representation in Machine Learning M. N. Murty
Libristo code: 41636719
Publishers Springer, Berlin, November 2022
This book provides a concise but comprehensive guide to representation, which forms the core of Mach... Full description
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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.In addition, the book covers a wide range of representation techniques that are important for academics and ML practitioners alike, such as Locality Sensitive Hashing (LSH), Distance Metrics and Fractional Norms, Principal Components (PCs), Random Projections and Autoencoders. Several experimental results are provided in the book to demonstrate the discussed techniques' effectiveness.

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About the book

Full name Representation in Machine Learning
Language English
Binding Book - Paperback
Date of issue 2023
Number of pages 93
EAN 9789811979071
Libristo code 41636719
Publishers Springer, Berlin
Weight 159
Dimensions 155 x 235
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