MATLAB for Machine Learning will help readers build a foundation in machine learning using MATLAB for beginners.
The book starts by getting one's system ready with the MATLAB environment for machine learning, and the reader will see how to easily interact with the MATLAB workspace. The book then moves on to data cleansing, mining, and analyzing various data types in machine learning and the reader will see how to display data values on a plot. Next, the reader will learn about the different types of regression techniques and how to apply them to their data using the MATLAB functions.
The reader will understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, the book explores feature selection and extraction techniques for dimensionality reduction for performance improvement.
At the end of the book, the reader will learn to put it all together into real-world cases covering major machine learning algorithms and will be comfortable performing machine learning with MATLAB.
Statistics and Machine Learning Toolbox and Deep Learning Toolbox are also briefly introduced. In addition, a supplemental set of MATLAB code files is available for download on the publisher's website.