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CRC Press Statistical Learning Using Neural Networks - Python Guide

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Description

Statistical Learning Using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks from foundational concepts through to advanced applications. This comprehensive resource bridges theory and practice, offering concrete Python code examples throughout that demonstrate how neural networks integrate with established statistical methodologies. The book covers a wide range of statistical techniques applied across multiple research domains, with all Python implementations available online for hands-on learning. Designed for scientists, developers, and graduate students, it combines rigorous statistical foundations with practical deep learning applications, making complex neural network concepts accessible to those with a statistics background seeking to understand modern machine learning approaches.

Key Features

CRC Press publication providing structured progression from neural network fundamentals to advanced statistical learning applications with Python.

Includes concrete Python code examples throughout the text, with all implementations available online for immediate practical application.

Covers statistical methodologies applied across multiple research areas, bridging traditional statistics and modern neural network techniques.

Suitable for graduate students, scientists, and data developers looking to understand neural networks from a statistical perspective.

Combines theoretical foundations with applied examples to make complex neural network concepts accessible to statisticians entering machine learning.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 June 2022
Listed Since
14 April 2022

Barcode

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