£145.30

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

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Description

Improve your data science skills with Model to Meaning: How to Interpret Statistical Models with R and Python. Published by Chapman and Hall/CRC, this book focuses on the essential process of translating complex mathematical outputs into actionable insights. Whether you are working with R or Python, understanding how to read and interpret statistical models is a fundamental part of modern programming and data analysis. This resource provides the necessary guidance for those working within the computing and internet programming space. It is designed to help you move beyond simply running code to truly understanding what your statistical models are telling you about your data. This book is a practical addition to your technical library, supporting your journey in mastering programming languages used for data science. By focusing on interpretation, it helps you bridge the gap between raw computation and meaningful results.

Key Features

Focuses on the interpretation of statistical models to help you understand data results.

Provides practical guidance for users working with both R and Python programming languages.

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

Designed for individuals studying computing, internet programming, and data languages.

Helps bridge the gap between running statistical code and gaining meaningful insights.

Product Specifications

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

Barcode

No barcode data available

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