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Statistical Learning Using Neural Networks: A Guide for Statisticians and Data Scientists with Python - Hardcover

 
9781138364509: Statistical Learning Using Neural Networks: A Guide for Statisticians and Data Scientists with Python
  • PublisherChapman and Hall/CRC
  • Publication date2020
  • ISBN 10 1138364509
  • ISBN 13 9781138364509
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages234

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De Braganca Pereira, Basilio; Radhakrishna Rao, Calyampudi; Borges De Oliveira, Fabio
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Hardcover. Condition: new. Hardcover. 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 modelsThis 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781138364509

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