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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
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Author (1)
Giuseppe Ciaburro
Giuseppe Ciaburro
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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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Summary

In this chapter, we embarked on an exciting journey into the world of ML, exploring a range of popular algorithms to find the best fit for our specific needs. We learned the importance of conducting a preliminary analysis to determine the most suitable algorithm and gained insights into the step-by-step process of building ML models.

Furthermore, we delved into the powerful capabilities of MATLAB for ML, including its support for classification, regression, clustering, and deep learning tasks. We discovered the convenience of using MATLAB apps for automated model training and code generation, streamlining our workflow.

We also introduced the Statistics and Machine Learning Toolbox and the Deep Learning Toolbox, which provided us with additional tools and functionalities to solve our specific problems. We recognized the significance of statistics and algebra in the field of ML and understood how MATLAB could assist us in leveraging these concepts effectively.

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MATLAB for Machine Learning - Second Edition
Published in: Jan 2024Publisher: PacktISBN-13: 9781835087695
© 2024 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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