End-to-End ML Project Walkthrough (System Design Focus)
Pick one ML project from your experience and walk through it end-to-end. Be concrete about design trade-offs and numbers.
Cover the following:
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Problem definition and success metrics
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Data sources and labeling strategy
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Features and model selection
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Training pipeline and infrastructure
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Offline evaluation
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Online A/B test plan (or safe rollout if A/B exposure is risky)
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Monitoring and alerting
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Major failure modes
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Privacy and compliance considerations
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Scaling and cost trade-offs