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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.
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Giulio Alessandrini
Manager of Machine Learning, Wolfram Research
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Gosia Konwerska
Kernel Developer, Wolfram Research
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