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Statistical Learning Using Neural Networks

A Guide for Statisticians and Data Scientists with Python

By: Basilio de Braganca Pereira,Calyampudi Radhakrishna Rao,Fabio Borges de Oliveira

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Statistical Learning Using Neural Networks

A Guide for Statisticians and Data Scientists with Python

By: Basilio de Braganca Pereira,Calyampudi Radhakrishna Rao,Fabio Borges de Oliveira

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks starting from the basics and increasingly demanding more effort from readers, who can learn the theory and its applications in statistical methods with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with Python code examples, which are available online. It is suitable for scientists and developers as well as graduate students. Key Features: Discusses applications in several research areas Covers a wide range of widely used statistical methodologies Includes Python code examples Gives numerous neural network models This book covers fundamental concepts on Neural Networks including Multivariate Statistics Neural Networks, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference Results. This book is suitable for both teaching and research. It introduces neural networks and is a guide for outsiders of academia working in data mining and artificial intelligence (AI). This book brings together data analysis from statistics to computer science using neural networks.

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Page Count

286

Publisher

CRC Press

Published Date

ISBN 10

0429775547

ISBN 13

9780429775543

Statistical Learning Using Neural Networks

A Guide for Statisticians and Data Scientists with Python

By: Basilio de Braganca Pereira,Calyampudi Radhakrishna Rao,Fabio Borges de Oliveira

Write a review Read reviews Take a Quiz Solve Book Puzzle

Statistical Learning Using Neural Networks

A Guide for Statisticians and Data Scientists with Python

By: Basilio de Braganca Pereira,Calyampudi Radhakrishna Rao,Fabio Borges de Oliveira

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks starting from the basics and increasingly demanding more effort from readers, who can learn the theory and its applications in statistical methods with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with Python code examples, which are available online. It is suitable for scientists and developers as well as graduate students. Key Features: Discusses applications in several research areas Covers a wide range of widely used statistical methodologies Includes Python code examples Gives numerous neural network models This book covers fundamental concepts on Neural Networks including Multivariate Statistics Neural Networks, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference Results. This book is suitable for both teaching and research. It introduces neural networks and is a guide for outsiders of academia working in data mining and artificial intelligence (AI). This book brings together data analysis from statistics to computer science using neural networks.

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Page Count

234

Publisher

CRC Press

Published Date

ISBN 10

0429775555

ISBN 13

9780429775550