# MATLAB Machine Learning Recipes: A Problem-Solution Approach, 2nd Edition

## Book Description

MATLAB Machine Learning Recipes: A Problem-Solution Approach

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.

## Book Details

- Title: MATLAB Machine Learning Recipes: A Problem-Solution Approach, 2nd Edition
- Author: Michael Paluszek, Stephanie Thomas
- Length: 347 pages
- Edition: 2nd ed.
- Language: English
- Publisher: Apress
- Publication Date: 2019-02-05
- ISBN-10: 1484239156
- ISBN-13: 9781484239155

## Book DownloadTry Audible and Get 2 Free Audiobooks »

Download Link | Format | Size (MB) | Upload Date |
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Download from UsersCloud | True PDF, EPUB | 13.2 | 02/02/2019 |

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