£52.77

CRC Press Statistical Learning Using Neural Networks with Python

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Description

Master the fundamentals of artificial neural networks with this comprehensive guide designed specifically for statisticians and data scientists. This book bridges the gap between theoretical statistical methods and practical implementation by providing concrete Python code examples. As you progress through the text, the material moves from basic concepts to more demanding topics, allowing for a structured learning experience. You will explore a wide range of widely used statistical methodologies applied across various research areas. To support your practical learning, Python code examples are available online, making it easier to replicate results and apply these techniques to your own datasets. Whether you are a professional scientist, a developer, or a graduate student, this guide provides the necessary tools to integrate neural networks into your statistical workflow. It is an essential resource for anyone looking to deepen their understanding of how neural networks function within the context of modern statistical learning.

Key Features

Learn artificial neural networks through a structured approach that starts with the basics and moves into advanced theory.

Gain practical experience with concrete Python code examples provided throughout the text to support learning.

Explore a wide range of widely used statistical methodologies applied to different research areas.

Access online Python code examples to help you implement the statistical methods discussed in the book.

Designed as a versatile resource suitable for scientists, developers, and graduate students in the field.

Product Specifications

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

Barcode

No barcode data available

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