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$Carte Kernel Methods for Machine Learning with Math and Python Joe Suzuki$

Kernel Methods for Machine Learning with Math and Python

Name: Kernel Methods for Machine Learning with Math and Python
Brand: Springer Verlag, Singapore
SKU: 9789811904004
Price: 271.62 RON
Availability: InStock

100 Exercises for Building Logic

Autor: Joe Suzuki

Limbă:

Legare: Carte broșată

Editura: Springer Verlag, Singapore

Disponibilitate: În depozitul extern

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271.62 lei

The most crucial ability for machine learning and data science is mathematical logic for grasping th...

Informații despre carte

Autor

Joe Suzuki

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2022

Pagini

208

EAN

9789811904004

Enbook ID

38637045

Editura

Springer Verlag, Singapore

Greutate

344

Dimensiuni

154 x 233 x 17

Descriere completă

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 Python 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.

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Kernel Methods for Machine Learning with Math and Python

100 Exercises for Building Logic

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