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MATLAB for Machine Learning

You're reading from   MATLAB for Machine Learning Unlock the power of deep learning for swift and enhanced results

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781835087695
Length 374 pages
Edition 2nd Edition
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Author (1):
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Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Getting Started with Matlab
2. Chapter 1: Exploring MATLAB for Machine Learning FREE CHAPTER 3. Chapter 2: Working with Data in MATLAB 4. Part 2: Understanding Machine Learning Algorithms in MATLAB
5. Chapter 3: Prediction Using Classification and Regression 6. Chapter 4: Clustering Analysis and Dimensionality Reduction 7. Chapter 5: Introducing Artificial Neural Network Modeling 8. Chapter 6: Deep Learning and Convolutional Neural Networks 9. Part 3: Machine Learning in Practice
10. Chapter 7: Natural Language Processing Using MATLAB 11. Chapter 8: MATLAB for Image Processing and Computer Vision 12. Chapter 9: Time Series Analysis and Forecasting with MATLAB 13. Chapter 10: MATLAB Tools for Recommender Systems 14. Chapter 11: Anomaly Detection in MATLAB 15. Index 16. Other Books You May Enjoy

Working with Data in MATLAB

Today, the amount of data generated is enormous; computers, smart TVs, smartphones, home appliances, credit cards, sensors, public and private transport, and automation systems: these devices effortlessly produce a plethora of data, and here are just a handful of examples. Various purposes are served by storing and utilizing such data. One notable application is the utilization of machine learning (ML) algorithms for data analysis. This chapter delves into the process of importing and organizing data in MATLAB. To achieve this, it is crucial to acquaint yourself with the MATLAB workspace to streamline operations. The chapter then proceeds to examine the different data formats available for collected data and goes on to explore various data formats for the gathered data, providing guidance on importing and exporting data to and from MATLAB. Moreover, it delves into data types suitable for managing grouping variables and categorical data. The section wraps...

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