In this post, we explore the impact of screen selection on tracking variations and provide insights on how to optimize your campaign success. To this end, we analyzed variations in measured tracking per day of the week between consecutive ...
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How to teach seasonality to Deep Neural Networks (DNN) In my last blog post, I presented a method to encode calendar_dt in a way that DNNs are able to learn holiday effects. Furthermore, it was even possible to use it to detect short-term ...
How to teach public holidays to Deep Neural Networks (DNN) When working with real-world time series, sooner or later we stumble across public holidays, which show up as anomalies in otherwise very robust pattern. For example, in the retail ...