Have a personal or library account? Click to login
MATLAB for Machine Learning Cover

MATLAB for Machine Learning

Practical examples of regression, clustering and neural networks

Publisher:Packt Publishing Limited
By: Giuseppe Ciaburro and  Pavan Kumar Kolluru  
Paid access
|Sep 2017
Product purchase options

Extract patterns and knowledge from your data in easy way using MATLAB

Key Features

  • Get your first steps into machine learning with the help of this easy-to-follow guide
  • Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB
  • Understand how your data works and identify hidden layers in the data with the power of machine learning.

Book Description

MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners.
You’ll start by getting your system ready with t he MATLAB environment for machine learning and you’ll see how to easily interact with the Matlab workspace. We’ll then move on to data cleansing, mining and analyzing various data types in machine learning and you’ll see how to display data values on a plot. Next, you’ll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions.
You’ll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you’ll explore feature selection and extraction techniques for dimensionality reduction for performance improvement.
At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB.

What you will learn

  • Learn the introductory concepts of machine learning.
  • Discover different ways to transform data using SAS XPORT, import and export tools,
  • Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data.
  • Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment.
  • Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures.
  • Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox.
  • Learn feature selection and extraction for dimensionality reduction leading to improved performance.

Who this book is for

This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well.

Table of Contents

  1. Getting Started with Matlab Machine Learning
  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 by clustering methods
  7. Simulation of human thinking - Artificial neural networks
  8. Improves the performance of the machine learning model - Dimensionality reduction
  9. Machine learning in practice
https://github.com/packtpublishing/matlab-for-machine-learning
PDF ISBN: 978-1-78839-939-5
Publisher: Packt Publishing Limited
Copyright owner: © 2017 Packt Publishing Limited
Publication date: 2017
Language: English
Pages: 382
Related subjects:
Computer sciences,
Databases and data mining

People also read

MATLAB for Machine Learning
Book

MATLAB for Machine Learning

Ciaburro, Giuseppe
MATLAB机器学习
Book
Coming soon

MATLAB机器学习

Press, Posts & Telecom, Ciaburro, Giuseppe
Practical Machine Learning with R
Book

Practical Machine Learning with R

Jeyaraman, Brindha Priyadarshini, Olsen, Ludvig Renbo, Wambugu, Monicah
Machine Learning with R
Book

Machine Learning with R

Lantz, Brett
Machine Learning with R
Book

Machine Learning with R

Lantz, Brett
R Machine Learning By Example
Book

R Machine Learning By Example

Bali, Raghav
Machine Learning with R Quick Start Guide
Book

Machine Learning with R Quick Start Guide

Sanz, Iván Pastor
Mastering Machine Learning with R
Book

Mastering Machine Learning with R

Lesmeister, Cory
Statistics for Machine Learning
Book

Statistics for Machine Learning

Dangeti, Pratap
Mastering Machine Learning with R
Book
New

Mastering Machine Learning with R

Lesmeister, Cory