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

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: 207.85 PLN
Availability: InStock

100 Exercises for Building Logic

Autor: Joe Suzuki

Język:

Oprawa: Miękka

Wydawca: Springer Verlag, Singapore

Dostępność: Dostępna u dostawcy

Wysyłamy za 5-8 dni

207.85 zł

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

Informacje o książce

Autor

Joe Suzuki

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2022

strony

208

EAN

9789811904004

Enbook ID

38637045

Wydawca

Springer Verlag, Singapore

Waga

344

Wymiary

154 x 233 x 17

Pełny opis

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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