Abstract: 

Managing data, building a machine learning model, and deploying it as an API ready to be used in a Web app is so easy to do on the IBM Cloud I'll show you how in 5 minutes! We'll do it all in a Jupyter Notebook in Watson Studio, IBM's born-on-the-cloud data science platform.

Bio: 

Raj is a Developer Advocate for Watson and Cloud at IBM. He specializes in data science and all things geospatial. Raj pioneered Web mapping-as-a-service in the late 1990s with Syncline, a startup he co-founded, and worked with many startups on data issues. Prior to IBM, he led geospatial data interoperability projects for the Open Geospatial Consortium. He has a PhD in Information Systems in Planning from MIT.