Scale By the Bay 2021 intro video by Paweł Skrzypek & Anna Warno
summary
Overview of concrete deliverables and methods for using state of the art machine learning models for CDS forecasting and folding those forecasts into portfolio optimization routines, with both theoretical framing and practical implementation notes. The video outlines model classes used, common pitfalls and mitigation strategies, and shows results as interactive visualizations so performance and tradeoffs are immediately clear rather than just described.
AI-written summary · about
related talks
31mKeynote: Anyscale Product Demo
03mHighlights
27m[Opening Keynote] Anyscale Demo: Machine Learning Application from Dev to Prod
43mVisualising Machine Learning Models
29mProbabilistic demand forecasting at scale
24mPlatform-First Forecasting: Engineering Scalable ML Systems
21mDon’t Call It 'The Forecast': Structured Prediction at Scale
57mStartup Showcase
