Causal Inference and Discovery in Python

Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Autori

• Aleksander Molak

Parametri

• 456 pagine
• 16 ore di lettura

• Computer, IT, programmazione

Maggiori informazioni sul libro

The book explores the integration of causal inference principles with advanced machine learning techniques, focusing on both observational and experimental data. It aims to clarify the complexities of causal discovery, providing readers with a comprehensive understanding of how to effectively apply these concepts in practical scenarios. By merging theoretical foundations with computational methods, the text serves as a valuable resource for researchers and practitioners seeking to enhance their analytical capabilities in causal analysis.

Lingua: Inglese

Pubblicato: 2023

(In brossura)