Frame an ML problem

Define the decision before choosing a model.

Understand the problem

Specify the prediction target, available labels, action taken on a prediction, and latency budget. Establish a non-ML baseline and explain why learning may improve on it.

Trade-offs and pitfalls

A model with higher offline accuracy may not improve the product objective.

Check your understanding

Define an objective and guardrails for a recommendation feed.

Your study notes