: Plan for A/B testing, shadow deployments, and canary releases.
: Determine data sources, availability, and labeling strategies. Machine Learning System Design Interview Pdf Github
: Define the business goal and use cases. Clarify whether an ML solution is even necessary or if a rule-based system suffices. : Plan for A/B testing, shadow deployments, and
: Address model drift, scalability (sharding, caching), and maintenance. Top GitHub Repositories and PDF Resources : Plan for A/B testing
: Design how the model will serve predictions—either via online inference (low latency) or batch processing .
: Outline the high-level MVP logic, deciding between simple baseline models and complex architectures.