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Chapman and Hall/CRC Model to Meaning - Statistical Models with R and Python

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Description

Model to Meaning: How to Interpret Statistical Models with R and Python is a specialized resource published by Chapman and Hall/CRC. This book focuses on the practical application of R and Python for interpreting statistical models. It serves as a guide for those working within the computing and programming sectors, specifically those interested in language-based data analysis. Designed for readers in the programming and internet subjects category, this text provides a foundation for understanding how to translate mathematical models into meaningful insights using industry-standard coding tools.

Key Features

Model to Meaning provides guidance on interpreting statistical models using R and Python.

Published by Chapman and Hall/CRC, a recognized name in technical publishing.

This book is categorized under computing, internet, and programming languages.

Learn to apply statistical interpretation techniques through R and Python programming.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 September 2025
Listed Since
01 May 2025

Barcode

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