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Representation in Machine Learning
Engelsk Paperback
Representation in Machine Learning
Engelsk Paperback

478 kr
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Om denne bog

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.


Product detaljer
Sprog:
Engelsk
Sider:
93
ISBN-13:
9789811979071
Indbinding:
Paperback
Udgave:
ISBN-10:
9811979073
Kategori:
Udg. Dato:
21 jan 2023
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Verlag, Singapore
Oplagsdato:
21 jan 2023
Forfatter(e):
Kategori sammenhænge