Kernel Methods for Machine Learning with Math and R

Language: English

Published by Springer, Springer Mai 2022, 2022

9811903972 / 9789811903977

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch.…

Seller Inventory # 9789811903977

Title
Kernel Methods for Machine Learning with Math and R
Author
Joe Suzuki
Publisher
Springer, Springer Mai 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
9811903972
ISBN 13
9789811903977
Item weight
324 grams
Dimensions
235x155x12 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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