Bytebytego Machine Learning System Design Interview Upd

| Step | Focus | Time (45 min) | |------|-------|----------------| | | Functional, non-functional, ML-specific constraints | 5 min | | 2. Data & Feature Engineering | Sources, labels, splits, features, validation | 10 min | | 3. Model Selection | Offline metrics, architecture choice, complexity | 10 min | | 4. Training & Evaluation | Pipeline, reproducibility, validation strategy | 10 min | | 5. Serving & Infrastructure | Latency, throughput, monitoring, updates | 10 min |

The course provides structured templates. It teaches you how to clarify requirements, define metrics (business vs. model metrics), and handle trade-offs (e.g., Latency vs. Accuracy). This structure helps prevent you from freezing up when asked a vague question like "Design a spam filter." bytebytego machine learning system design interview