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MATLAB for Machine Learning

You're reading from   MATLAB for Machine Learning Practical examples of regression, clustering and neural networks

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781788398435
Length 382 pages
Edition 1st Edition
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Authors (2):
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Pavan Kumar Kolluru Pavan Kumar Kolluru
Author Profile Icon Pavan Kumar Kolluru
Pavan Kumar Kolluru
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with MATLAB Machine Learning FREE CHAPTER 2. Importing and Organizing Data in MATLAB 3. From Data to Knowledge Discovery 4. Finding Relationships between Variables - Regression Techniques 5. Pattern Recognition through Classification Algorithms 6. Identifying Groups of Data Using Clustering Methods 7. Simulation of Human Thinking - Artificial Neural Networks 8. Improving the Performance of the Machine Learning Model - Dimensionality Reduction 9. Machine Learning in Practice

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...

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