This month, Michael Burton, Associate Professor at Ohio University, will be talking about the foundations of data science and machine learning.

Python is becoming a go-to language for data science and machine learning. Mike’s presentation talks about a critical part of model generation: quality assessment. When you start digging into Python applications for machine learning you will see performance metrics like ‘sensitivity’, ‘specificity’, and ‘positive predictive value’, along with ‘Receiver Operator Characteristic curves’, all of which seek deeper levels of quality than simple accuracy. This session will demonstrate how a few statistical insights can greatly improve your understanding of algorithmically generated models.

Afterwards we’ll be heading to Brazenhead on 5th.