Abstract: Cloudera’s library of Applied ML Prototypes (AMPs) provides Data Scientists with pre-built reference examples and end-to-end solutions, using some of the most cutting edge ML methods, for a variety of common data science projects. Every AMP includes all required libraries and their dependencies, industry best practices, prebuilt models, and a business-ready AI application — All deployable with a couple clicks, allowing Data Science teams to start a new project with a working example that they can then customize to their own needs.
In this session, Cloudera will demonstrate how an AMP can be used for structural time series analysis. An Auto ML approach will be employed to forecast future cryptocurrency prices. To facilitate easy application usage, a Web-based, RESTful endpoint will be exposed to retrieve model predictions.
Bio: Troy is currently a Partner Solutions Engineer at Cloudera focused primarily on integration efforts with other software vendors. Before joining Cloudera, Troy spent a number of years in the banking industry with Freddie Mac, Truist, and Capital One, with a long stint beforehand at Oracle. His undergraduate and graduate school work was in Mathematical Statistics at The American University. In his free time, Troy is an amateur jazz musician and enjoys traveling with his family.
Kenton Troy Davis
Partner Solutions Engineer | Cloudera