Machine Learning in Actuarial Science and Insurance

This week is organized the summer school on machine learning for economists and applied social scientists. I will be giving an (online) lecture this Thursday, on Machine Learning in Actuarial Science & Insurance, with a great program,

  • 10am – 10:55am : Juri Marcucci: Machine Learning in Macroeconomics
  • 11am – 11:55am : Arthur Charpentier: Machine Learning in Actuarial Science & Insurance
  • 12pm – 12:55pm : Arthur Spirling : Machine Learning in Embeddings Representations
  • 1pm – 1:55pm : Kathy Baylis: Machine Learning in Agricultural Economics
  • 2pm – 2:55pm : Stefan Wager : Machine Learning in Causal Inference
  • 10am – 10:55am : Stan Matwin : Machine Learning and Data Privacy
  • 11am – 11:55am : Mehmet Caner : Machine Learning in Econometrics
  • 12pm – 12:55pm : Anders Bredahl Kock : Machine Learning in Model Selection
  • 1pm – 1:55pm : Dario Sansone: Machine Learning in Education and Development Economics
  • 2pm – 2:55pm: Patrick Baylis :Temperature and Temperament: Evidence from Twitter

My slides are now online,



Cite this blog post
Arthur Charpentier (2020, July 20). Machine Learning in Actuarial Science and Insurance. Freakonometrics. Retrieved May 24, 2024, from https://doi.org/10.58079/ovgh

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