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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

Familiarizing yourself with the MATLAB desktop

MATLAB is an interactive working environment based on the matrix, the most natural way to express computational mathematics. Moreover, it is a programming language designed for technical computing, mathematical analysis, and system simulation. The integrated graphics make it easy to view and acquire knowledge from the data. Finally, a large library of prebuilt toolboxes allows us to immediately start with programming.

After installing, to start MATLAB, simply double-click on the icon on the desktop; or from the system prompt, type matlab. At first startup, MATLAB will show us a desk of contents with all the necessary items for its proper and smooth operation. Figure 2.1 shows the MATLAB desktop in the R2017a version:

Figure 2.1: MATLAB R2017a desktop for Windows 10

The MATLAB desktop includes the following panels:

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