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Unata Presents on Bayesian Machine Learning at PyCon 2017

This week Unata’s Data Science team is visiting Portland for Pycon 2017, the largest annual gathering for the community that uses and develops the Python programming language. With an attendance of over 3,000 people, Pycon is one of the most important events in the open source community. The conference spans six full days and offers tutorials to help developers learn new technologies and increase their skills, a conference and expo with almost 100 different talks, and developer sprints, where developers enjoy several days of rare in-person collaboration on their favorite open source projects.

 

This is Unata’s fourth participation at PyCon. Similar to prior years, the team delivered a seminar on the latest Python tools for Data Science. This year’s tutorial, “An Introduction to Bayesian Machine Learning“, focused on probabilistic programming, a software system for making predictions and decisions based on data. The system’s framework that was showcased leverages deep learning techniques and is used in state-of-the-art recommendation engines and a variety of machine learning systems. The 3-hour session was lead by our very own Torsten Scholak and delivered to a sold-out venue.

 

The whole talk (all 3 hours) is live on YouTube.

 

Congratulations to the team!

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