Special Topics in Data Science
mer. 6 février à 01:00
Register via Eventbrite Only: => https://www.eventbrite.com/e/galvanize-nyc-special-topics-in-data-science-tickets-55179775193 We will have several short talks about data science-related topics.
Full agenda and topic list TBD. Alan Feder, Data Scientist, Invesco
"Interpretability of Black-Box Machine Learning Models" Many of the newest and most advanced machine learning models are considered ‘black-box’, with no ability for data scientists or end users to understand why a given model made the prediction it did. In this talk, I plan to discuss a number of different methods to ‘peer inside the black box’, so that people don’t have to choose between interpretable models and accurate models. About the Speakers Alan Feder, Data Scientist, Invesco
Alan Feder currently works as a Principal Data Scientist at Invesco, where he uses statistics, machine learning, artificial intelligence, computer programming, and data visualization to solve some of Invesco's hardest business problems. He previously worked as an actuary before shifting to data science. He lives in downtown Manhattan with his wife and toddler. Orson Adams, Data Scientist, Moody’s Daulet Nurmanbetov, Data Scientist, Moody's
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