Machine Learning Lightning Talks @ Strata

5:30pm Doors Open, Food & Networking 
6:00-7:30pm Lightning Talk Presentations 
7:30pm Q&A, Discussion

Event Details

• Charis Loveland: "Gamification of Machine Learning in Neuroscience"

• Bob Horton: "Viewing training set size as a learning parameter with learning curves, on airline dataset"

• Alok Kirpal: "Time series Anomaly Detection in service health monitoring, KPI monitoring and IOT"

• Amita Gajewar: "Forecasting Revenue for enterprise products"

• Michael Du: "Deep learning on protein-protein interaction predictions"

• Stephen McInerney: "Rapid visual exploration of large dataset/ UN Millennium Development Goals dataset"

• Jocelyn Barker: "Machine Learning in Medical Images: a multi-resolution approach"

• Srini Kumar: "Why you should Visualize before you Analyze"