: Detailed implementation of standard supervised learning.
The book by Jeff Heaton serves as a bridge for C# developers looking to enter the world of Artificial Intelligence without getting bogged down in academic jargon. This edition, published on October 2, 2008, by Heaton Research, Inc., provides 428 pages of practical theory and source code designed to help programmers implement complex machine learning models. Core Concepts and Architectures Introduction to Neural Networks for C#, 2nd Edi...
Each chapter includes concrete examples where C# is used to solve real-world problems: : Detailed implementation of standard supervised learning
: Detailed implementation of standard supervised learning.
The book by Jeff Heaton serves as a bridge for C# developers looking to enter the world of Artificial Intelligence without getting bogged down in academic jargon. This edition, published on October 2, 2008, by Heaton Research, Inc., provides 428 pages of practical theory and source code designed to help programmers implement complex machine learning models. Core Concepts and Architectures
Each chapter includes concrete examples where C# is used to solve real-world problems: