Solutions to Data Science Problems

Deepak Venugopal (), Lih-Yuan Deng () and Max Garzon ()
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Deepak Venugopal: The University of Memphis, Computer Science
Lih-Yuan Deng: The University of Memphis, Mathematical Sciences
Max Garzon: The University of Memphis, Computer Science

Chapter Chapter 2 in Dimensionality Reduction in Data Science, 2022, pp 29-65 from Springer

Abstract: Abstract This chapter presents a review of statistical and machine learning models to tackle data science problems, arguably the most popular approaches. Both supervised and unsupervised algorithms are described along with practical considerations when using these methods. Empirical results on exemplar datasets are also presented where applicable to illustrate the application of these methods to real-world problems.

Date: 2022
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DOI: 10.1007/978-3-031-05371-9_2

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