Episode 8 – Tracking the economic effects of COVID-19 in real-time June 29
Joe Mahon discusses the limitations of traditional macroeconomic data in assessing the impact of the COVID-19 pandemic on the regional and national economy, and share a number of alternative, higher-frequency indicators economists at the Federal Reserve and elsewhere have turned to for a better understanding of this rapidly-evolving crisis.
Episode 4 – Towards MLOps with Kubeflow, mlrun & DASK May 11
Episode 4 features Greg Hayes, Data Science Director at Ecolab, talking MLOps.
Episode 3 – Using Variational Auto-Encoders to Explore U.S. Covid-19 County-level Data May 4
Yaniv Ben-Ami Founder at EasyAsPie.ai and Assistant Professor at Carleton College explores how a Variational Auto-Encoder can be used to track and make sense of U.S. Covid-19 county-level data.
Episode 2 – A Data Science Playbook for Explainable AI April 27
Josh Poduska, Chief Data Scientist at Domino Data Lab, reprises his highly-rated presentation from Data Tech 2019 “A Data Science Playbook for Explainable AI – Navigating Interpretable vs Predictive Models.”
Episode 1 – Panel Discussion: Predicting in an Age of Uncertainty April 20
Virtual panel discussion moderated by John Hogue with panelists Brianna Frederick, Data Science Manager, General Mills, Sean Larson, Director Business Insights and Analytics, Medtronic and Ruel G. White, Supply Chain Process Manager, Cargill.