Name: MATLAB Machine Learning Recipes: A Problem-Solution Approach (en Inglés)
Price: 185951.00 COP
Availability: InStock
Author: Paluszek, Michael ; Thomas, Stephanie
ISBN: 9781484298459

portada MATLAB Machine Learning Recipes: A Problem-Solution Approach (en Inglés)

Formato

Libro Físico

Autor

Stephanie Thomas

Michael Paluszek

Editorial

Apress

Idioma

Inglés

N° páginas

447

Encuadernación

Tapa Blanda

Dimensiones

25.4 x 17.8 x 2.4 cm

Peso

0.81 kg.

ISBN13

9781484298459

N° edición

0003

Categorías

Probabilidad y estadística
Bases de datos
Inteligencia artificial

MATLAB Machine Learning Recipes: A Problem-Solution Approach (en Inglés)

Stephanie Thomas (Autor) · Michael Paluszek (Autor) · Apress · Tapa Blanda

Libro Físico

$ 185.951

$ 309.919

Ahorras: $ 123.967

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Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "MATLAB Machine Learning Recipes: A Problem-Solution Approach (en Inglés)"

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution.This book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.What You Will LearnWrite code for machine learning, adaptive control, and estimation using MATLABUse MATLAB graphics and visualization tools for machine learningBecome familiar with neural netsBuild expert systemsUnderstand adaptive controlGain knowledge of Kalman FiltersWho This Book Is ForSoftware engineers, control engineers, university faculty, undergraduate and graduate students, hobbyists.