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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

Product type Paperback

Published in Jan 2024

Publisher Packt

ISBN-13 9781835087695

Length 374 pages

Edition 2nd Edition

Languages

MATLAB

Tools

MATLAB

Concepts

Deep Learning

Author (1):

Giuseppe Ciaburro

View More author details

Table of Contents (17) Chapters

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

Why subscribe?

16. Other Books You May Enjoy

To get the most out of this book

In this book, machine learning algorithms are implemented in the MATLAB environment. So, to reproduce the many examples in this book, you need a new version of MATLAB (R2023b is recommended) and the following toolboxes – a statistics and machine learning toolbox, a neural network toolbox, a deep learning toolbox, and a fuzzy logic toolbox.

Software/hardware covered in the book	Operating system requirements
MATLAB	Windows, macOS, or Linux

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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Authors (1)

Giuseppe Ciaburro

Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).

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