Bayesian Inference and Probabilistic Programming: DSE Presents Chat with the Lab webinar

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Bayesian Inference and Probabilistic Programming: DSE Presents Chat with the Lab

Thu, May 27, 2021 12:00 PM EDT


Bayes’ Inference is a predominant theorem utilized in Data Science, but what does it really mean to think as a Bayesian and what implications does this have for our work as data scientists? Why is it important that we understand the world of probabilistic programming and how is this different from the traditional ML approach? We are excited to tackle these questions and more while providing an introduction to the powerful tools of probabilistic programming and Bayesian inference.


Speakers



Demian Gass, Data Scientist, IBM Data Science and AI Elite

Demian is a data scientist with the IBM Data Science and AI Elite team based in New York City. He is passionate about using statistics and machine learning techniques to help clients solve their business problems and make full use of their data. Demian holds a B.A. in Statistics and Economics from Williams College.





Gabriel Gilling, Data Scientist, IBM Data Science and AI Elite

Gabriel is a Data Scientist and specializes in statistical analysis, including applying Bayesian frameworks to business use cases. He holds an MA in Quantitative Social Science from Columbia University. Before going to graduate school, he worked as a research associate for a macroeconomic focused shop in Montreal.
#GlobalDataScience
When:  May 27, 2021 from 12:00 PM to 01:00 PM (ET)

Contact

Jessica Leitsch

jleitsch@higherlogic.com