Getting Started with MATLAB Machine Learning: Practical examples of regression, clustering and neural networks

Giuseppe Ciaburro

zł556.99

Video Nov 2017 1hr 48mins 1st Edition

Giuseppe Ciaburro

zł556.99

Video Nov 2017 1hr 48mins 1st Edition

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Key benefits

Take your first steps into machine learning with the help of this easy-to-follow guide
Learn regression, clustering, classification, predictive analytics, artificial neural networks, and more with MATLAB
Understand how your data works and identify hidden layers in it with the power of machine learning

Description

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.

Who is this book for?

This video is for data analysts, data scientists, students, or anyone keen to get started with machine learning and build efficient data processing and predictive applications. A mathematical and statistical background will really make this video easier to follow.

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, and 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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