Predicting Time Series at Scale
Given the ubiquity of time series, we are developing an open-source software platform which allows exploration, visualization, and modeling of large time series datasets. In addition, we also expose tools that enable appropriate storage and replication schemes for time series data, including real-time information being streamed via an application program interface (API). Our library allows modeling via traditional approaches, as well as recent developments. As an example, we will showcase how our system can be used to predict the price of Bitcoin.
Time
10:00 AM to 3:00 PM
Sponsor
Laboratory for Information and Decision Systems