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

Book Details

Format Hardback or Cased Book
ISBN-10 1138364509
ISBN-13 9781138364509
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Sep 2nd, 2020
Print length 234 Pages
Weight 522 grams
Dimensions 23.90 x 16.20 x 2.10 cms
Product Classification: Probability & statistics
Ksh 25,200.00
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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 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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