Fundamentals of Data Analytics - With a View to Machine Learning (Paperback, 1st ed. 2020)

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	September 2021
First published:	2020
Authors:	Rudolf Mathar • Gholamreza Alirezaei • Emilio Balda • Arash Behboodi
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	127
Edition:	1st ed. 2020
ISBN-13:	978-3-03-056833-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-056833-4
Barcode:	9783030568337

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