£87.05

Chapman and Hall/CRC Causal Inference and Machine Learning Book

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Description

Expand your knowledge in econometrics and data science with Causal Inference and Machine Learning: In Economics, Social, and Health Sciences. Published by Chapman and Hall/CRC, this text provides essential material for those working at the intersection of machine learning and causal analysis. This book is designed for professionals and students navigating complex datasets within the social and health sciences. By focusing on the application of machine learning techniques to causal inference, it helps readers understand how to move beyond simple correlation to identify true causal relationships. Whether you are studying economics, public health, or social trends, this resource offers the theoretical and practical foundations needed to conduct rigorous analysis. Ideal for academic study or professional reference, this title serves as a specialized tool for anyone looking to deepen their expertise in modern econometrics. It is a valuable addition to any collection focused on advanced statistical methods and machine learning applications in real-world scientific research.

Key Features

Focuses on the application of causal inference and machine learning within economics, social sciences, and health sciences.

Published by the reputable Chapman and Hall/CRC for academic and professional reliability.

Provides a specialized resource for advanced study in the field of econometrics.

Designed to help researchers bridge the gap between machine learning and causal analysis.

Serves as a comprehensive reference for complex data analysis in social and health science disciplines.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 December 2025
Listed Since
10 June 2025

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