Welcome!

By registering with us, you'll be able to discuss, share and private message with other members of our community.

SignUp Now!
  • Disclaimer: This site does not store any files on its server. All contents are provided by non-affiliated third parties.

eBooks Kernel Methods for Machine Learning with Math and Python 100 Exercises for Bu...

Well-known member
Messages
26,406
Reaction score
19
Points
338
Kernel Methods for Machine Learning with Math and Python 100 Exercises for Building Logic

Tq5zA43.jpg

English | 2022 | ISBN: 9811904006 | 220 Pages | PDF | 2 MB

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.

TcAlVnV.gif

Code:
https://nitro.download/view/38D106AE4CFE237/Kernel_Methods_for_Machine_Learning_with_Math_and_Python_100_Exercises_for_Building_Logic.rar
Code:
https://rapidgator.net/file/eb81845bf61f5ad768e4085222123eb3/Kernel_Methods_for_Machine_Learning_with_Math_and_Python_100_Exercises_for_Building_Logic.rar
 

max

Well-known member
Messages
38,403
Reaction score
7
Points
1
Kernel Methods for Machine Learning with Math and Python 100 Exercises for Building Logic

Tq5zA43.jpg

English | 2022 | ISBN: 9811904006 | 220 Pages | PDF | 2 MB

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.

TcAlVnV.gif

Code:
https://nitro.download/view/38D106AE4CFE237/Kernel_Methods_for_Machine_Learning_with_Math_and_Python_100_Exercises_for_Building_Logic.rar
Code:
https://rapidgator.net/file/eb81845bf61f5ad768e4085222123eb3/Kernel_Methods_for_Machine_Learning_with_Math_and_Python_100_Exercises_for_Building_Logic.rar

Thank you for Sharing.
Keep Sharing
 

Users who are viewing this thread

LATEST SHARES

LATEST SHARES

Top