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Kernel Methods for Machine Learning with Math and R: 100 Exercises for Building Logic, (Paperback)
Item #: 254228824

Kernel Methods for Machine Learning with Math and R: 100 Exercises for Building Logic, (Paperback)

Item #: 254228824

AED 246

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    Shop Kernel Methods for Machine Learning with Math and R: 100 Exercises for Building Logic, (Paperback) online at a best price in UAE. 813301833
    • The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than relying on knowledge or experience. This textbook addresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building R programs. The book's main features are as follows: The content is written in an easy-to-follow and self-contained style.The book includes 100 exercises, which have been carefully selected and refined. As their solutions are provided in the main text, readers can solve all of the exercises by reading the book.The mathematical premises of kernels are proven and the correct conclusions are provided, helping readers to understand the nature of kernels.Source programs and running examples are presented to help readers acquire a deeper understanding of the mathematics used.Once readers have a basic understanding of the functional analysis topics covered in Chapter 2, the applications are discussed in the subsequent chapters. Here, no prior knowledge of mathematics is assumed.This book considers both the kernel for reproducing kernel Hilbert space (RKHS) and the kernel for the Gaussian process; a clear distinction is made between the two.
    Book formatPaperback
    Fiction/nonfictionNon-Fiction
    GenreComputing & Internet
    Publication dateMay, 2022
    Pages196
    SubgenreArtificial Intelligence
    Series titleNo Series
    Edition2022 Edition
    PublisherSpringer Nature Singapore
    Original languagesEnglish
    LanguageEnglish
    Edu focusMathematics, Technology
    Educational levelGeneral
    Is collectibleN
    Recording time0 min
    Retail packagingSingle Piece
    Assembled product dimensions (l x w x h)6.14 x 0.44 x 9.21 in (15.6 x 1.1 x 23.4 cm)
    Assembled product weight0.66 lb (300 grams)
    Bisac subject headingComputers

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    Kernel Methods for Machine Learning with Math and R: 100 Exercises for Building Logic, (Paperback)

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