Spring 2017 Release
Our Spring 2017 release brings Time Series, a supervised learning method for analyzing time based data when historical patterns can explain future behavior. This new resource is available from the BigML Dashboard, API, as well as from WhizzML for its automation. Time Series is commonly used for predicting stock prices, sales forecasting, website traffic, production and inventory analysis as well as weather forecasting, among many other use cases.
Learn about Time Series
The Webinar Video
Watch the Time Series launch webinar.