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Softcover - 9783030568337
69,54 €
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Beschreibung
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.
With a View to Machine Learning
With a View to Machine Learning
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 16. September 2020 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 383 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783030568306 |
| Seiten | 127 |
Schlagwörter
Algorithmen und Datenstrukturen, Artificial Intelligence, Big Data, Data Structures and Information Theory, Datenbanken, Informationstheorie, Künstliche Intelligenz, Mathematische und statistische Software, Statistical Theory and Methods, Statistics and Computing, Wahrscheinlichkeitsrechnung und Statistik
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