Since Version 10 (in 2014), Wolfram Language has featured a time series construct for representing data through time. In Version 15, we have a much stronger and fully compatible version of
TimeSeries, capable of handling larger and more varied datasets. Our new
TimeSeries framework is based on the
Tabular framework that we introduced in Version 14.2 and interoperates with it. In Version 15, we're also introducing a powerful new, unified approach to data fitting and inference. The new function
ModelFit supports quantities and dates natively and works with both machine learning and statistical models. Join this webinar to learn more about the Wolfram Language ecosystem of highly integrated built-in functions, and see details about the New in 15 webinar series
here.