Statistical learning using neural networks a guide for statisticians and data scientists / by Basilio de Bragan©ʹa Pereira, Calyampudi Radhakrishna Rao, F©Łbio Borges de Oliveira.

Contents Fundamental concepts on neural networks -- Some common neural network models -- Multivariate statistics neural network models -- Regression neural network models -- Survival analysis and other networks.
Abstract "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"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Pereira, Basilio de Bragan©ʹa. Statistical learning using neural networks First edition. Boca Raton : CRC Press, Taylor & Francis Group, 2020 9781138364509
Genre/formElectronic books.
LCCN 2019056046
ISBN9780429431296 (ebook)
ISBN(hardback)

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