subtopic

No Free Lunch and when ML is not the answer

Write when you would NOT use ML for each project. Concepts: No Free Lunch theorem (intuition); ML suitability checklist Project A: 1,000 rows is small: prefer simple, interpretable models; regulated decisions need explanations. Project B: If tomorrow looks like nothing in history (new tariff, pandemic), a model trained on history will fail — monitor and fall back.