Statistical learning using neural networks : a guide for statisticians and data scientists

Statistical learning using neural networks a guide for statisticians and data scientists

Fundamental concepts on neural networks -- Some common neural network models -- Multivariate statistics neural network models -- Regression neural network models -- Survival analysis and other networks.

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Bibliographische Detailangaben
1. Verfasser: Bragança Pereira, Basilio de (VerfasserIn)
Weitere Verfasser: Rao, Calyampudi Radhakrishna (VerfasserIn), Borges de Oliveira, Fábio (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Boca Raton, London, New York CRC Press, Taylor & Francis Group 2020
Ausgabe:First edition
Schriftenreihe:A Chapman & Hall book
Schlagworte:
Statistics > Data processing > Multivariate analysis > Neural networks (Computer science) > Computational learning theory > Methodology > Python (Computer program language) > Multivariate Analyse > Maschinelles Lernen > Neuronales Netz > Python > Statistik > Data Science
Online Zugang:Inhaltsverzeichnis
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Beschreibung
Zusammenfassung:Fundamental concepts on neural networks -- Some common neural network models -- Multivariate statistics neural network models -- Regression neural network models -- Survival analysis and other networks.
"This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples. Statistical topics covered include multivariate statistics (Cluster, Classification, Dimension Reduction, Projection Pursuit, Nonlinear Regression) Survival Analysis (Cox Model and Extensions) Control, Chart and Statistical Inference. Illustrative examples will be mainly from medicine, engineering, and economics"--
Beschreibung:Literaturverzeichnis: Seite 215-231
Beschreibung:xiii, 233 Seiten
Illustrationen, Diagramme
ISBN:9781138364509
978-1-138-36450-9