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Название: MATLAB Machine Learning Recipes: A Problem-Solution Approach, 2nd Edition
Автор: Michael Paluszek and Stephanie Thomas
Издательство: Apress
ISBN: 1484239156
Год: 2019
Страниц: 358
Язык: английский
Формат: pdf (true), epub
Размер: 13.2 MB
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.
Автор: Michael Paluszek and Stephanie Thomas
Издательство: Apress
ISBN: 1484239156
Год: 2019
Страниц: 358
Язык: английский
Формат: pdf (true), epub
Размер: 13.2 MB
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.