: Plan the infrastructure for model deployment, serving at scale, and tracking performance over time (e.g., drift detection). Key Case Studies Covered
#MLEngineering #TechInterviews #AlexXu
| Resource | Focus | Strengths | Limitations | |----------|-------|-----------|--------------| | Alex Xu – MLSD Interview | Generalist interview prep | Clear stepwise framework, excellent trade-off tables | Light on MLOps and production CD pipelines | | Chip Huyen – Designing ML Systems | Production engineering | Deep on data shifts, monitoring, testing | Less interview-oriented | | Stanford CS329S (ML Systems) | Academic | Rigorous on evaluation, reproducibility | No real-time serving patterns | | Grokking ML Design (Educative) | Interactive practice | Code skeletons | Shallow on data governance | Machine Learning System Design Interview Alex Xu Pdf