Model to Meaning How to Interpret Statistical Models with R and Python

Product Description

Our world is complex. To make sense of it data analysts routinely fit sophisticated statistical or machine learning models. Interpreting the results produced by such models can be challenging and researchers often struggle to communicate their findings to colleagues and stakeholders. Model to Meaning is a book designed to bridge that gap. It is a practical guide for anyone who needs to translate model outputs into accurate insights that are accessible to a wide audience. Features: Presents a simple and powerful conceptual framework to interpret the results from a wide variety of statistical or machine learning models. Features in-depth case studies covering topics such as causal inference e…