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

Product typeBook

Published inJan 2024

Reading LevelIntermediate

PublisherPackt

ISBN-139781835087695

Edition2nd Edition

Languages

MATLAB

Tools

MATLAB

Concepts

Machine Learning

Author (1)

Giuseppe Ciaburro

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:

Chapter 1, Exploring MATLAB for Machine Learning
Chapter 2, Working with Data in MATLAB

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MATLAB for Machine Learning - Second Edition

Published in: Jan 2024Publisher: PacktISBN-13: 9781835087695

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Author (1)

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).
Read more about Giuseppe Ciaburro

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