Jet.com is an e-commerce startup competing with Amazon. We're heavy users of F#, and have based our architecture around Azure-based event-driven functional microservices. Over the last several months, we've schooled ourselves on what works and what doesn't for F# and microservices. This session will walk you through the lessons we have learned on our way to developing our platform.
Bring your laptop to this session! Join members of the Cortana Analytics team for a hands-on workshop to practice building an experiment in Azure ML.This session will start with a short demo showing how to build an Azure ML experiment. You can follow along and build the experiment on your PC as the instructors explain what the experiment does, why the algorithms used were chosen, and key decisions in the experiment design. You'll then get 90 minutes to work on your own experiment. Depending on your experience level, you can:
Work your way through an online walkthrough (we'll provide pointers to several different tutorials)
Make changes to an existing experiment in the Azure ML Gallery to alter how it functions
Create a new experiment in the Azure ML Studio using an existing dataset