7 docs tagged with "case-studies"

End-to-end design of a production ad click prediction system - covering Wide and Deep learning, feature engineering at scale, online learning, calibration, and serving under 10ms.

End-to-end design of a large-scale content moderation system - covering multi-modal ML pipelines, human review integration, active learning, adversarial robustness, and platform-scale architecture.

End-to-end design of a real-time fraud detection system - covering feature engineering, imbalanced learning, streaming scoring, delayed labels, and graph-based fraud ring detection.

End-to-end design of a recommendation system serving billions of items to millions of users - covering two-stage architecture, candidate generation, ranking, cold start, and serving at scale.

End-to-end design of a production search ranking system - covering query understanding, BM25 + dense retrieval, Learning to Rank, semantic reranking, and A/B testing metrics.

End-to-end design of a production LLM-powered product - covering the serving stack, prompt management, RAG architecture, multi-LLM routing, streaming, cost management, and observability.

Real-world end-to-end case studies of production ML systems - recommendation, search, fraud, content moderation, ad click prediction, and LLM-powered products.