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The Unlikely Wedlock Between Data Science and Entrepreneurship Read chapter Read first chapter

2023 | OriginalPaper | Chapter

6. Supervised Machine Learning in a Nutshell

Authors : Majid Mohammadi, Dario Di Nucci

Published in: Data Science for Entrepreneurship

Publisher: Springer International Publishing

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Abstract

This chapter introduces the fundamental to supervised machine learning algorithms, namely the classification and regression problems. We explain each technique using an inspiring example and discuss how the corresponding algorithms work together with the data engineering pipelines. They provide some guidelines for implementing a classification or regression task for other problems and required materials to evaluate the supervised learning being used.

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previous chapter Data Engineering in Action
next chapter An Intuitive Introduction to Deep Learning
Footnotes
2
There is another type of regression, named ordinal regression, where the dependent variables are of ordinal type, each showing a rank assigned to a sample within the dataset.
 
3
In fact, it is the inverse of the covariance matrix if the data is normalized.
 
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Metadata
Title
Supervised Machine Learning in a Nutshell
Authors
Majid Mohammadi
Dario Di Nucci
Copyright Year
2023
Book
Data Science for Entrepreneurship

Print ISBN: 978-3-031-19553-2

Electronic ISBN: 978-3-031-19554-9

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-19554-9_6

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