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: Jake is currently working as a Senior Product Marketing Manager over ML Lifecycle products at Cloudera. Before joining Cloudera, Jake worked as a Data Scientist and Solution Architect at ExxonMobil. Additionally, he worked as a Senior Data Scientist at FarmersEdge. Before starting his professional career, Jake obtained his bachelor’s and master’s degree from Brigham Young University. When he isn’t working, Jake enjoys skiing, golfing, and spending time with his family in the mountains.