Statistical learning using neural networks : a guide for statisticians and data scientists /
Pereira, Basilio de Bragança,
Statistical learning using neural networks : a guide for statisticians and data scientists / by Basilio de Braganc̨a Pereira, Calyampudi Radhakrishna Rao, Fábio Borges de Oliveira. - First edition. - 1 online resource (xiii, 233 pages) : illustrations (black and white)
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"--
9780429431296 0429431295 9780429775550 0429775555 9780429775543 0429775547 9780429775536 0429775539
Statistics--Data processing.
Multivariate analysis--Data processing.
Neural networks (Computer science)
Computational learning theory.
Statistics--Methodology.
Python (Computer program language)
BUSINESS & ECONOMICS / Statistics
COMPUTERS / Database Management / Data Mining
COMPUTERS / Machine Theory
QA276.4 / .P466 2020eb
519.50285/632
Statistical learning using neural networks : a guide for statisticians and data scientists / by Basilio de Braganc̨a Pereira, Calyampudi Radhakrishna Rao, Fábio Borges de Oliveira. - First edition. - 1 online resource (xiii, 233 pages) : illustrations (black and white)
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"--
9780429431296 0429431295 9780429775550 0429775555 9780429775543 0429775547 9780429775536 0429775539
Statistics--Data processing.
Multivariate analysis--Data processing.
Neural networks (Computer science)
Computational learning theory.
Statistics--Methodology.
Python (Computer program language)
BUSINESS & ECONOMICS / Statistics
COMPUTERS / Database Management / Data Mining
COMPUTERS / Machine Theory
QA276.4 / .P466 2020eb
519.50285/632
