Machine Learning for Econometrics - Gaillac, Christophe (Associate Professor, Associate Professor, Unive; L'Hour, Jeremy (Quantitative researcher, Quantitative researcher, Ca
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Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data.

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Produktbeschreibung
Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data.
Autorenporträt
Christophe Gaillac is an Associate Professor at the University of Geneva, GSEM. He was a postdoctoral prize research fellow at Oxford University and Nuffield College, and received his PhD in Economics from the Toulouse School of Economics. JÃ(c)rÃ(c)my L'Hour is a quantitative researcher at Capital Fund Management (CFM), a Paris-based systematic hedge fund. He received his PhD in Economics from UniversitÃ(c) Paris-Saclay.