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MATLAB for Machine Learning - Second Edition

You're reading from  MATLAB for Machine Learning - Second Edition

Product type Book
Published in Jan 2024
Publisher Packt
ISBN-13 9781835087695
Pages 374 pages
Edition 2nd Edition
Languages
Author (1):
Giuseppe Ciaburro Giuseppe Ciaburro
Profile icon Giuseppe Ciaburro

Table of Contents (17) Chapters

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

Technical requirements

In this chapter, we will introduce basic concepts relating to machine learning. To understand these topics, a basic knowledge of algebra and mathematical modeling is needed. You will also need a working knowledge of the MATLAB environment.

To work with the MATLAB code in this chapter, you need the following files (available on GitHub at https://github.com/PacktPublishing/MATLAB-for-Machine-Learning-second-edition):

  • ANNFitting.m
  • ANNPatReg.m
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