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Juri Marcucci: Machine Learning in Macroeconomics
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MLportal's main purpose is making machine learning methods more accessible in Social and Health sciences.
The purpose of this webinars is to share the latest applications of machine learning methods in different fields.
other webinars and presentations:
July 23: Presentations of Speakers
10am - 10:55am : Juri Marcucci: Machine Learning in Macroeconomics (presentation)
11am - 11:55am : Arthur Charpentier: Machine Learning in Actuarial Science & Insurance (presentation)
12pm - 12:55pm : Arthur Spirling : Machine Learning in Embeddings Representations (presentation)
1pm - 1:55pm : Kathy Baylis: Machine Learning in Agricultural Economics (presentation)
2pm - 2:55pm : Stefan Wager : Machine Learning in Causal Inference (presentation)
July 24: Presentations of Speakers
10am - 10:55am : Stan Matwin : Machine Learning and Economics: a two-way street
11am - 11:55am : Mehmet Caner : Machine Learning in Econometrics (presentation)
12pm - 12:55pm : Anders Bredahl Kock : Machine Learning in Model Selection (presentation)
1pm - 1:55pm : Dario Sansone: Machine Learning in Education and Development Economics (presentation)
2pm - 2:55pm: Patrick Baylis :Temperature and Temperament: Evidence from Twitter (presentation)
The purpose of this webinars is to share the latest applications of machine learning methods in different fields.
other webinars and presentations:
July 23: Presentations of Speakers
10am - 10:55am : Juri Marcucci: Machine Learning in Macroeconomics (presentation)
11am - 11:55am : Arthur Charpentier: Machine Learning in Actuarial Science & Insurance (presentation)
12pm - 12:55pm : Arthur Spirling : Machine Learning in Embeddings Representations (presentation)
1pm - 1:55pm : Kathy Baylis: Machine Learning in Agricultural Economics (presentation)
2pm - 2:55pm : Stefan Wager : Machine Learning in Causal Inference (presentation)
July 24: Presentations of Speakers
10am - 10:55am : Stan Matwin : Machine Learning and Economics: a two-way street
11am - 11:55am : Mehmet Caner : Machine Learning in Econometrics (presentation)
12pm - 12:55pm : Anders Bredahl Kock : Machine Learning in Model Selection (presentation)
1pm - 1:55pm : Dario Sansone: Machine Learning in Education and Development Economics (presentation)
2pm - 2:55pm: Patrick Baylis :Temperature and Temperament: Evidence from Twitter (presentation)
Juri Marcucci: Machine Learning in Macroeconomics
Intervista a Juri Marcucci, Banca d'Italia
Mehmet Caner : Machine Learning in Econometrics
Arthur Spirling : Machine Learning in Embeddings Representations
Anders Bredahl Kock : Machine Learning in Model Selection
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Dario Sansone: Machine Learning in Education and Development Economics
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Kathy Baylis: Machine Learning in Agricultural Economics
Arthur Charpentier: Machine Learning in Actuarial Science & Insurance
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Stefan Wager : Machine Learning in Causal Inference
Patrick Baylis :Temperature and Temperament: Evidence from Twitter
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