02Explain the bias-variance tradeoff, and how you diagnose and fix high bias vs high variance.▼medium★ EssentialAmazonGoogleMeta2 repliesunlockedThe most frequent ML fundamentals question, and a subtle seniority check: anyone can repeat the definition, but can you break down the error and convert 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 ordinary software CI/CD. The signal is the three additions ML brings: data validation, a model-quality gate against a baseline, and versioning data plus model plus code as a unit. Here is what truly differs.Open full answer →
39How do you build an evaluation harness that runs in CI to gate every model change?▼hardOpenAIAnthropicDatabricks1 replies◆ premiumA green build says nothing about model quality. The signal is an eval harness that runs deterministically in CI, checks against a frozen baseline, and blocks the merge on regressions. Here is how to make it fast, stable, and trusted.Open full answer →
