Packt Publishing – Getting Started with MATLAB Machine Learning
English | Size: 2.04 GB
Category: CBTs
This video course takes a very comprehensive approach to enhancing your understanding of machine learning using MATLAB. Plenty of real-world examples and use cases are included in the video course to help you grasp the concepts quickly and apply them easily in your day-to-day work.
MATLAB is the language of choice for many researchers and mathematics experts when it comes to machine learning. This video will help beginners build a foundation in machine learning using MATLAB.
You’ll start by getting your system ready with the MATLAB environment for machine learning and you’ll see how to easily interact with the MATLAB workspace. You’ll then move on to data cleansing, mining, and analyzing various data types in machine learning and you’ll see how to display data values on a plot. Next, you’ll learn about the different types of regression technique and how to apply them to your data using the MATLAB functions. You’ll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis.
Finally, you’ll explore feature selection and extraction techniques for dimensionality reduction to improve performance. By the end of the video, you’ll have learned to put it all together via real-world use cases covering the major machine learning algorithms and will be comfortable in performing machine learning with MATLAB.
What You Will Learn
• Learn the introductory concepts of machine learning
• Explore the different types of regression technique such as simple and multiple linear
regression, ordinary least squares estimation, correlations & how to apply them to your data
• Discover the basics of classification methods and how to implement the Naive Bayes
algorithm and Decision Trees in the MATLAB environment
• Perform data fitting, pattern recognition, and clustering analysis with the help of the
MATLAB neural network toolbox
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