Book Image

MATLAB for Machine Learning

By : Giuseppe Ciaburro
Book Image

MATLAB for Machine Learning

By: Giuseppe Ciaburro

Overview of this book

MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You’ll start by getting your system ready with t he MATLAB environment for machine learning and you’ll see how to easily interact with the Matlab workspace. We’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 get to know about the different types of regression techniques 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 for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB.
Table of Contents (17 chapters)
Title Page
About the Author
About the Reviewers
Customer Feedback
Improving the Performance of the Machine Learning Model - Dimensionality Reduction

Getting started with neural networks

Serial computers and their programs are very powerful tools used to perform tasks requiring the repetition of a number of well-defined operations where accuracy, reliability, and speed are important features. These information processing systems are very useful but not intelligent; the only element of intelligence in the whole process is the programmer who has analyzed the task and created the program. For an artificial system to be intelligent, it should at least be able to solve problems that humans find simple, trivial, and natural.

Figure 7.1: A biological neural network scheme

ANNs are information processing systems that try to simulate within a computer system the functioning of biological nervous systems that are made up of a large number of nerve cells, or neurons, connected to each other in a complex network. Each neuron is connected, on an average with tens of thousands of other neurons, with hundreds of billions of connections. Intelligent behavior...