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Distributed Time Series in Machine Learning - ML 088
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Manage episode 341976283 series 2977446
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
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…
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.
…
continue reading
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.
171 episoade
MP3•Pagina episodului
Manage episode 341976283 series 2977446
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
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…
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.
…
continue reading
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.
171 episoade
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