Translating Business Problems Into ML Problems

Summary

The core skill of the job — turning a vague ask ('reduce customer churn') into a specific, well-framed prediction problem (predict churn probability per customer in the next 30 days).

• 1Practice rewriting 5 vague business goals into specific, well-framed ML problem statements.
• 2Learn to ask what decision the model's output would actually change before building it.
• 3Notice how often the honest answer is 'this doesn't need ML, just better data'.