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Statistical Learning Using Neural Networks
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A Guide for Statisticians and Data Scientists with Python
Besorgungstitel - wird vorgemerkt | Lieferzeit: Besorgungstitel - Lieferbar innerhalb von 10 Werktagen I
Artikel-Nr:
9781138364509
Veröffentl:
2020
Erscheinungsdatum:
02.09.2020
Seiten:
234
Autor:
Basilio de Braganca Pereira
Gewicht:
476 g
Format:
234x155x18 mm
Sprache:
Englisch
Beschreibung:
Basilio de Bragança Pereira, DIC and PhD (Imperial Collage), is Professor Emeritus of the Federal University of Rio de Janeiro (UFRJ) where he has worked since 1970, in the Institute of Mathematics, Postgraduate School of Engineering (COPPE) and School of Medicine. Associate Professor at the Institute of Mathematics (1970-1989 and 1994-1997), Research Professor at COPPE (1970-present), Titular Professor of Applied Statistics at COPPE (1989-1994, retired), Titular Professor of Biostatistics at the School of Medicine (1998-2015, retired). Since 2018, he is a courtesy researcher at National Laboratory for Scientific Computing (LNCC).
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.
1. Introduction. 2. Fundamental Concepts of Neural Networks. 3. Some Common Neural Network Models. 4 Multivariate Statistics and Neural Networks. 5. Regression Neural Network Models. 6. Survival Analysis and other Models.