Time Series Release

Spring 2017

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.

See webinar slideshow Watch webinar video

Read our Spring 2017 Release Blog Post

Time Series Dashboard Documentation

Time Series API Documentation

Introduction to Time Series

Investigating Real-World Data with Time Series

Creating your First Time Series Model with BigML's Dashboard

Programming Time Series with BigML's API

Automating Time Series with WhizzML

Behind the Scenes of BigML's Time Series Forecasting

The Webinar Video

Watch the Time Series launch webinar.

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