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MATLAB is a comprehensive programming environment used by many researchers and math experts for machine learning. This book will help you learn the basic concepts in machine learning and deep learning using MATLAB, and then refine your basic skills with advanced applications. You’ll start by exploring the tools that the MATLAB environment offers for machine learning and see how to easily interact with the MATLAB workspace. We’ll then move on to data cleansing, mining, and analyzing various types of data in machine learning, and you’ll see how to visualize data values on a graph. Then, you’ll learn about the different types of classification and regression techniques and how to apply them to your data, using MATLAB functions. Further, you will understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. You will also explore feature selection and extraction techniques for dimensionality reduction for performance improvement. Finally, you’ll learn how to leverage MATLAB tools for deep learning and managing convolutional neural networks. By the end of the book, you’ll learn how to put it all together in real-world cases, covering major machine learning algorithms, and you’ll feel confident as you delve into machine learning with MATLAB.