Model to Meaning. How to Interpret Statistical Models with R and Python, Paperback

Proposes a consistent workflow that can be applied to (almost) any statistical or machine learning model. Readers will learn how to transform complex parameter estimates into quantities that are readily interpretable, intuitive, and understandable.

• Publisher: Taylor & Francis Ltd
• Author(s): Vincent (Universite de Montreal, Canada) Arel-Bundock
• Illustration(s): 5 Tables, black and white; 30 Line drawings, black and white; 30 Illustrations, black and white
• Number of pages: 252
• Publication date: 2025
• Dimensions: 154 x 234 x 17
• Cover type: Paperback / softback