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Fundamentals of Data Analytics

- With a View to Machine Learning

Fundamentals of Data Analytics

- With a View to Machine Learning
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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.

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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.

Produktdetaljer
Sprog: Engelsk
Sider: 127
ISBN-13: 9783030568337
Indbinding: Paperback
Udgave:
ISBN-10: 3030568334
Kategori: Informationsteori
Udg. Dato: 17 sep 2021
Længde: 11mm
Bredde: 234mm
Højde: 155mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 17 sep 2021
Forfatter(e) Gholamreza Alirezaei, Emilio Balda, Arash Behboodi, Rudolf Mathar


Kategori Informationsteori


ISBN-13 9783030568337


Sprog Engelsk


Indbinding Paperback


Sider 127


Udgave


Længde 11mm


Bredde 234mm


Højde 155mm


Udg. Dato 17 sep 2021


Oplagsdato 17 sep 2021


Forlag Springer Nature Switzerland AG

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