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MATLAB for Machine Learning - Second Edition
MATLAB for Machine Learning - Second Edition

MATLAB for Machine Learning: Unlock the power of deep learning for swift and enhanced results, Second Edition

By Giuseppe Ciaburro
$39.99 $27.98
Book Jan 2024 374 pages 2nd Edition
eBook
$39.99 $27.98
Print
$49.99
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$15.99 Monthly
eBook
$39.99 $27.98
Print
$49.99
Subscription
$15.99 Monthly

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Product Details


Publication date : Jan 30, 2024
Length 374 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781835087695
Category :
Table of content icon View table of contents Preview book icon Preview Book

MATLAB for Machine Learning - Second Edition

Part 1: Getting Started with Matlab

This part provides background information and essential knowledge about MATLAB tools, along with an introduction to basic machine learning concepts. We also will focus on importing and organizing data in MATLAB, emphasizing familiarity with the MATLAB workspace for simplicity in operations. The discussion covers analyzing various data formats, moving data in and out of MATLAB, exploring datatypes for grouping variables and categorical data, exporting data in different formats such as cell arrays, structure arrays, and tabular data, and saving it in MATLAB-supported file formats. The ultimate goal is to prepare data in the right format for the subsequent phase of data analysis.

This part has the following chapters:

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Key benefits

  • Work with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithms
  • Evaluate, deploy, and operationalize your custom models, incorporating bias detection and pipeline monitoring
  • Uncover effective approaches to deep learning for computer vision, time series analysis, and forecasting
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Discover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications. By navigating the versatile machine learning tools in the MATLAB environment, you’ll learn how to seamlessly interact with the workspace. You’ll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you’ll explore various classification and regression techniques, skillfully applying them with MATLAB functions. This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You’ll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you’ll leverage MATLAB tools for deep learning and managing convolutional neural networks. By the end of the book, you’ll be able to put it all together by applying major machine learning algorithms in real-world scenarios.

What you will learn

Discover different ways to transform data into valuable insights Explore the different types of regression techniques Grasp the basics of classification through Naive Bayes and decision trees Use clustering to group data based on similarity measures Perform data fitting, pattern recognition, and cluster analysis Implement feature selection and extraction for dimensionality reduction Harness MATLAB tools for deep learning exploration

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Jan 30, 2024
Length 374 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781835087695
Category :

Table of Contents

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

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