Online Library TheLib.net » MATLAB Machine Learning Recipes: A Problem-Solution Approach
cover of the book MATLAB Machine Learning Recipes: A Problem-Solution Approach

Ebook: MATLAB Machine Learning Recipes: A Problem-Solution Approach

00
30.01.2024
0
0

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.  

Download the book MATLAB Machine Learning Recipes: A Problem-Solution Approach for free or read online
Read Download
Continue reading on any device:
QR code
Last viewed books
Related books
Comments (0)
reload, if the code cannot be seen