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,