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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 explored several key concepts in the field of data analysis and predictive modeling. We started by discussing the basics of time series data, which refers to data that is collected over a certain period and contains a sequential order. The extraction of statistics from such sequential data is then highlighted as an important step in analyzing and understanding patterns within the data.

This chapter also emphasized the implementation of a model to predict stock market data. This involves using various techniques and algorithms to analyze historical stock market data, identify patterns and trends, and make predictions about future stock prices.

Lastly, this chapter addressed the challenge of dealing with imbalanced datasets in MATLAB. An imbalanced dataset refers to a situation where the distribution of classes within the dataset is significantly skewed, making it difficult to train a model accurately. We discussed methods and strategies to handle imbalanced...

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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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