MATLAB Machine Learning Recipes

A Problem-Solution Approach

Autor: Michael Paluszek, Stephanie Thomas

Jazyk:

Väzba: Brožovaná

Vydavateľ: APress

Dostupnosť: 50 % šanca

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Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provid...

Informácie o knihe

Autor

Michael Paluszek, Stephanie Thomas

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2019

Stránok

347

EAN

9781484239155

ISBN

1484239156

Enbook ID

19793939

Vydavateľ

APress

Hmotnosť

710

Rozmery

259 x 191 x 21

Kompletný popis

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. What you'll learn: How to write code for machine learning, adaptive control and estimation using MATLAB How these three areas complement each other How these three areas are needed for robust machine learning applications How to use MATLAB graphics and visualization tools for machine learning How to code real world examples in MATLAB for major applications of machine learning in big data Who is this book for: The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples on machine learning using MATLAB.

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MATLAB Machine Learning Recipes

A Problem-Solution Approach

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