GitHub / anastasiamkh / engineering-machine-learning-systems

Structured notes on designing scalable and fault-tolerant ML systems, to refresh your knowledge and help you prepare for a system design interview. Covers system design, MLOps, and case studies.

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Topics: architecture, data-engineering, devops, distributed-systems, end-to-end-machine-learning, engineering, interview, interview-preparation, machine-learning, machine-learning-interview, ml, ml-interview, ml-system-design, ml-systems, mlops, python, scalable-machine-learning, system-design, system-design-interview, tech

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