Why Choosing the ML Algorithm Should Be Your Last Step

An SRE-turned-AI engineer argues that problem framing, not algorithm selection, is the hardest part of machine learning. He outlines four questions to answer before training any model: defining the event, linking prediction to action, costing false positives vs. false negatives, and setting decision thresholds. The piece emphasizes that algorithm choice becomes trivial once the business context is clear.