Kód: 41636719
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 dat ... celý popis
Angličtina
56.80 €
Bežne: 61.56 €
Ušetríte 4.77 €

Nákupom získate 137 bodov
Anotácia knihy
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.
Parametre knihy
Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence
56.80 €
Angličtina
Osobný odber Bratislava a 12542 dalších
Copyright ©2008-26 najlacnejsie-knihy.sk Všetky práva vyhradenéSúkromieCookies
24 miliónov titulov
Vrátenie do mesiaca
02/210 210 99 (8-15.30h)Nákupný košík ( prázdny )