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Can I read Statistical Learning Using Neural Networks : A Guide for Statisticians and Data Scientists with Python on EtoBox?
Statistical Learning Using Neural Networks : A Guide for Statisticians and Data Scientists with Python by Basilio de Bragança Pereira, Calyampudi Radhakrishna Rao, Fabio Borges de Oliveira is a nonfiction available to read on EtoBox.
What is Statistical Learning Using Neural Networks : A Guide for Statisticians and Data Scientists with Python about?
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
Who reads Statistical Learning Using Neural Networks : A Guide for Statisticians and Data Scientists with Python?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Basilio de Bragança Pereira, Calyampudi Radhakrishna Rao, Fabio Borges de Oliveira
- Publisher
- CRC Press, Taylor & Francis Group
- Published
- 2020
- Language
- EN
- ISBN
- 9780429775536
- Category
- nonfiction
- Subjects
- Business, Computer Science, Science
Other editions & translations
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