Michael Kearns, University of Pennsylvania Algorithmic Game Theory and Practice https://simons.berkeley.edu/talks/michael-kearns-2015-11-19...

Machine learning has become an incredibly popular field of research in the last few years. While there's no shortage of libraries and tutorials in languages ...

Organizations rely on machine learning engineers (MLEs) to operationalize ML, i.e., deploy and maintain ML pipelines in production. The process of operationalizing ML, or MLOps, consists of a continual loop of (i) data collection and labeling, (ii) experi... (more…)

Mix-and-match approaches for visualizing data and interpreting machine learning models and results. (more…)

Machine Learning can often be a black box. To gain actionable insights, its helpful to know how a variable influences a model. Here we outline 5 ways to assess feature importance to affecting the probability of an outcome. (more…)