Real Time Processing of Graphical Models in Education

A session at DIMACS Workshop on Statistical Analysis of Network Dynamics and Interactions

Thursday 7th November, 2013

3:35pm to 4:10pm (EST)

Title: Real Time Processing of Graphical Models in Education

The speaker is Director of Data Science at Knewton, a digital education company that processes interactions streams from over 2 million students with compact content graphs in order to produce realtime recommendations. Knewton uses probabilistic graphical models to express the relational and temporal structure of each educational experience, inferring latent parameters of content, and of students, that explain observed interactions and inform our recommendations. We've encountered a number of interesting technical challenges while scaling our platform, including versioned content graphs, sparsity and temporal clustering in observed data, and wide variation in the key dimensions of our models. This talk will focus on the (sometimes) pragmatic approaches we've taken to engineering around those challenges.

About the speaker

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George Davis

Data Scientist (Biotech, Security, Finance, Education) bio from LinkedIn

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Time 3:35pm4:10pm EST

Date Thu 7th November 2013

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