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

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Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python is a book that discusses the applications of artificial neural networks in sta tistical methods. It covers a wide range of widely used statistical methodologies and includes Python code examples. The book is suitable for scientists, developers, and graduate students, and covers fundamental concepts on Neural Networks, including Multivariate Statistics, Regression, Survival Analysis, Time Series Forecasting, Control Chart, and Statistical Inference. Format: Hardback Length: 234 pages Publication date: 02 September 2020 Publisher: Taylor & Francis Ltd 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. It presents a wide range of widely used statistical methodologies, applied in several research areas, with concrete Python code examples. It is suitable for scientists, developers, and 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). It brings together data analysis from statistics to computer science using neural networks. Weight: 522g Dimension: 239 x 162 x 21 (mm) ISBN-13: 9781138364509 Show more