7 Experimentation in action: Moving from prototype to MVP
This chapter covers
- Techniques for hyperparameter tuning and the benefits of automated approaches
- Execution options for improving the performance of hyperparameter optimization
In the preceding chapter, we explored the scenario of testing and evaluating potential solutions to a business problem focused on forecasting passengers at airports. We ended up arriving at a decision on the model to use for the implementation (Holt-Winters exponential smoothing) but performed only a modicum of model tuning during the rapid prototyping phases.
Moving from experimental prototyping to MVP development is challenging. It requires a complete cognitive shift that is at odds with the work done up to ...
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