Anomaly Detection in ML Interviews: 20 Questions That Expose the Hype
45% of ML interviews at top tech firms grilled candidates on anomaly detection last year. But is mastering it a golden ticket, or just another Silicon Valley smoke screen?
⚡ Key Takeaways
- Anomaly detection appears in 45% of top ML interviews—know isolation forests cold.
- Forget hype: Most production anomalies are dumb config issues, not ML puzzles.
- AutoML will commoditize this by 2026; focus on prompting over pure algos.
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Originally reported by Towards AI
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