Christophe Gaillac, Jeremy L'Hour

Gebundenes Buch

Machine Learning for Econometrics

Beschreibung

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.

Autor

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.

Produktdetails

• Verlag: Oxford University Press
• Seitenzahl: 352
• Erscheinungstermin: 6. Juni 2025
• Englisch
• Abmessung: 248mm x 174mm x 28mm
• Gewicht: 776g
• ISBN-13: 9780198918820
• ISBN-10: 0198918828
• Artikelnr.: 72598729