02Explain the bias-variance tradeoff, and how you diagnose and fix high bias vs high variance.▼medium★ EssentialAmazonGoogleMeta2 repliesunlockedThe most common ML fundamentals question, and a quiet seniority test: anyone recites the definition, but can you decompose the error and turn it into a concrete debugging plan?Open full answer →
04What does a CI/CD pipeline for ML add over a standard software CI/CD pipeline?▼medium★ EssentialMicrosoftDatabricksGoogle2 repliesunlockedThe trap is describing plain software CI/CD. The signal is the three things ML adds: data validation, a model-quality gate against a baseline, and versioning data plus model plus code together. Here is what is genuinely different.Open full answer →
39How do you build an evaluation harness that runs in CI to gate every model change?▼hardOpenAIAnthropicDatabricks1 replies◆ premiumA green build still means nothing for model quality. The signal is an eval harness that runs deterministically in CI, compares against a frozen baseline, and blocks the merge on regressions. Here is how to make it fast, stable, and trusted.Open full answer →
