Distributed Time Series in Machine Learning - ML 088

Distributed Time Series in Machine Learning - ML 088
Published:

September 22, 2022

00:00 00:00
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Show Notes

Today the panel discusses high level distributed time series models, using a hot dog stand company as the case study to anchor the understanding with these models.

In this episode…


  • Understanding use case
  • ML flow models and events
  • KPI forecasts
  • Metadata outputs
  • Prediction intervals for hotdog data
  • Automated time series forecasts
  • Libraries required for optimization
  • Practical tips managing the data and
  • Setting up the data for consumption
  • Managing black swan events


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