Using XGBoost to predict the number of passengers in each train at a given point in time. One of the most important parts of our architecture is measuring the training-serving skew from the multiple different models in production.
KEY TAKEAWAYS
- Getting something into production is more important than fine-tuning the model
- A big regression model can combine multiple classical approaches in a easily managed way
- Having the right tools (databases and processing environments in cloud) make the way much easier
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