Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Spil og hobby
Hjem
Kategorier
Bestsellers
Kommer snart
Nyheder
FAQ
Konto
Kontakt
Kurv
  1. Bog
  2. Kunstig intelligens
  3. Machine learning

Kernel Methods for Machine Learning with Math and Python

- 100 Exercises for Building Logic
Af: Joe Suzuki Engelsk Paperback

Kernel Methods for Machine Learning with Math and Python

- 100 Exercises for Building Logic
Af: Joe Suzuki Engelsk Paperback
Tjek vores konkurrenters priser

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.
Vis mere
Tjek vores konkurrenters priser
Normalpris
kr 431
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

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.
Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 208
ISBN-13: 9789811904004
Indbinding: Paperback
Udgave:
ISBN-10: 9811904006
Kategori: Machine learning
Udg. Dato: 15 maj 2022
Længde: 17mm
Bredde: 154mm
Højde: 233mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 15 maj 2022
Forfatter(e): Joe Suzuki
Forfatter(e) Joe Suzuki

Kategori Machine learning

ISBN-13 9789811904004

Sprog Engelsk

Indbinding Paperback

Sider 208

Udgave

Længde 17mm

Bredde 154mm

Højde 233mm

Udg. Dato 15 maj 2022

Oplagsdato 15 maj 2022

Forlag Springer Verlag, Singapore

Vi anbefaler også
Rosamunde Pilcher Vejen hjem
Vejen hjem
Rosamunde Pilcher
66 kr
Kategori sammenhænge