Machine Learning Recipes: 2nd Edition

Apress has released a second edition of our textbook, MATLAB Machine Learning Recipes! New chapters include Fuzzy Logic and Expert Systems. We have also expanded our discussions of Neural Networks and Multiple Hypothesis Testing. The book provides a broad overview of machine learning including topics from adaptive control and estimation. Examples include learning control of aircraft and automobile target tracking.

Our book is available from Amazon or directly from Apress!

https://www.apress.com/us/book/9781484239155

The software is available on GitHub: https://github.com/Apress/matlab-machine-learning-recipes, or you can download it from our support site:

http://support.psatellite.com/files/MachineLearning.mltbx

The software is packaged as a MATLAB toolbox, so it is easy to install and uninstall!

MATLAB Machine Learning Book is Now Available

Apress just published our new book, “MATLAB Machine Learning”

9781484222492

written by Michael Paluszek and Stephanie Thomas. The book covers a wide variety of topics related to machine learning including neural nets and decision trees. It also includes topics from automatic control including Kalman Filters and adaptive control. The book has many examples including autonomous driving, number identification and adaptive control of aircraft. Here is a view of a neural net tool included with the book.

MultiOutputNet

Full source code is available. For more information go to MATLAB Machine Learning.