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The MathWorks sells several packages for machine learning. Their toolboxes work directly with MATLAB and Simulink. The MathWorks products provide high-quality algorithms for data analysis along with graphics tools to visualize the data. Visualization tools are a critical part of any machine learning system. They can be used for data acquisition, for example, for image recognition or as part of systems for autonomous control of vehicles, or for diagnosis and debugging during development. All of these packages can be integrated with each other and with other MATLAB functions to produce powerful systems for machine learning. The most applicable toolboxes that we will discuss are listed in the following; we will use only the deep learning and the Instrument Control toolboxes in this book.
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go back to reference Christopher M. Bishop. Pattern Recognition and Machine Learning. Springer, 2006. Christopher M. Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
go back to reference A. Bryson and Y. Ho. Applied Optimal Control. Hemisphere Publishing Company, 1975. A. Bryson and Y. Ho. Applied Optimal Control. Hemisphere Publishing Company, 1975.
- MATLAB Machine Learning Toolboxes
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- Chapter 2