Distributed Time Series in Machine Learning - ML 088

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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• Top End Devs
• Coaching | Top End Devs

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