Python User Group: PyMC3 for Probabilistic Programming

Diagram for the computation of Bernoulli numbers.jpg as created by Ada Lovelace
Tuesday, September 22, 2020
3:00 PM - 5:00 PM
Online
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Bayesian statistical modeling is a powerful tool for quantifying uncertainties in probabilistic machine learning. This Python User Group workshop will introduce Bayesian statistical modeling using PyMC3, a python package built on the Theano machine learning library. Models will be visualized and verified with ArviZ, a python library for exploratory analysis of Bayesian models. This online session will be led by Roger Creel, a geophysics PhD candidate at Lamont-Doherty Earth Observatory. Please register in advance to receive the Zoom information by email.
About Python User Group

Python User Group is a meeting for those using Python in their research or who are curious about the Python programming language. Every two weeks, the group will present a workshop or lead a discussion about a specific use case for Python. At the end of the meeting, there will typically be time for collaborative work, questions, or discussion with fellow researchers or practitioners.


To prepare for Python User Group meetings, we suggest installing Anaconda, a distribution for Python that includes many frequently-used libraries:

https://www.anaconda.com/distribution/

Python User Group is part of the Foundations for Research Computing program. You can visit the Foundations for Research Computing website to find out about other upcoming events and trainings and to subscribe to our mailing list:

https://rcfoundations.research.columbia.edu
Event Contact Information:
Foundations Administrator
212-853-0246
[email protected]
LOCATION:
  • Online
TYPE:
  • Workshop
  • Training
EVENTS OPEN TO:
  • Faculty
  • Graduate Students
  • Postdocs
  • Staff
  • Students
  • Public
  • Alumni
  • Prospective Students
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