They say that model deployment is the most challenging step in a data science workflow.
The aim of this presentation is to prove them wrong. We will be training five ML models using five different ML frameworks (R, Scikit-Learn, Apache Spark, H2O.ai and XGBoost) and making a unified production-grade cloud deployment - everything in under five minutes!
The workflow is based on free and open-source software. Attendants will be enticed to replicate the workflow and join the model deployment-fest while the clock is ticking.
Presentation's homepage (README and all scripts) is located at
https://github.com/openscoring/papis.io
