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Distributed Time Series in Machine Learning - ML 088
About this Episode
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…
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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
Sponsors
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
Hosts & Guests
No transcript available for this episode.
