Statistical learning using neural networks : a guide for statisticians and data scientists / by Basilio de Braganc̨a Pereira, Calyampudi Radhakrishna Rao, Fábio Borges de Oliveira.
Pereira, Basilio de Bragança| Call Number | 519.50285/632 |
| Author | Pereira, Basilio de Bragança, author. |
| Title | Statistical learning using neural networks : a guide for statisticians and data scientists / by Basilio de Braganc̨a Pereira, Calyampudi Radhakrishna Rao, Fábio Borges de Oliveira. |
| Edition | First edition. |
| Physical Description | 1 online resource (xiii, 233 pages) : illustrations (black and white) |
| 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. |
| Summary | "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"-- |
| Added Author | Rao, C. Radhakrishna 1920- author. Borges de Oliveira, Fabio, author. |
| Subject | 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 |
| Multimedia |
Total Ratings:
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$a Statistical learning using neural networks : $b a guide for statisticians and data scientists / $c by Basilio de Braganc̨a Pereira, Calyampudi Radhakrishna Rao, Fábio Borges de Oliveira.
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$a 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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$a "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"-- $c Provided by publisher.
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| Summary | "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"-- |
| 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. |
| Subject | 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 |
| Multimedia |