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Ajouter au panierEtat : New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
Langue: anglais
Edité par Springer-Nature New York Inc, 2023
ISBN 10 : 9811979073 ISBN 13 : 9789811979071
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Ajouter au panierPaperback. Etat : Brand New. 102 pages. 9.25x6.10x0.22 inches. In Stock.
Langue: anglais
Edité par Springer Nature Singapore, 2023
ISBN 10 : 9811979073 ISBN 13 : 9789811979071
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Ajouter au panierEtat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.
Langue: anglais
Edité par Springer Nature Singapore, 2023
ISBN 10 : 9811979073 ISBN 13 : 9789811979071
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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Ajouter au panierEtat : New. PRINT ON DEMAND.
Langue: anglais
Edité par Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10 : 9811979073 ISBN 13 : 9789811979071
Vendeur : moluna, Greven, Allemagne
EUR 52,76
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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,.