Data & IT

Fundamentals of Data Analytics

Rudolf Mathar • Gholamreza Alirezaei • Emilio Balda • Arash Behboodi

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127 sidor
2021

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.

Författare: Rudolf Mathar, Gholamreza Alirezaei, Emilio Balda, Arash Behboodi
Format: Pocket/Paperback
ISBN: 9783030568337
Språk: Engelska
Antal sidor: 127
Utgivningsdatum: 2021-09-17
Förlag: Springer Nature Switzerland AG