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Kategorie szczegółowe BISAC
 Kernel Methods for Machine Learning with Math and R: 100 Exercises for Building Logic Suzuki, Joe 9789811903977 Springer Nature Singapore
Kernel Methods for Machine Learning with Math and R: 100 Exercises for Building Logic

Suzuki, Joe

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...

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than relying on knowledge or...

cena: 181,11
 Kernel Methods for Machine Learning with Math and Python: 100 Exercises for Building Logic Suzuki, Joe 9789811904004 Springer Nature Singapore
Kernel Methods for Machine Learning with Math and Python: 100 Exercises for Building Logic

Suzuki, Joe

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...

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than relying on knowledge or...

cena: 181,11
 WAIC and WBIC with R Stan Joe Suzuki 9789819938377 Springer Nature Singapore
WAIC and WBIC with R Stan

Joe Suzuki
Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike information criterion, and the widely applicable Bayesian information criterion (WBIC), also described as the Watanabe Bayesian information criterion. This book expertly guides you through relevant mathematical problems while also providing hands-on experience with programming in R and Stan. Whether you’re a data scientist looking to refine...
Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focus...
cena: 201,24


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