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Explore production ML pipelines with TensorFlow Extended (TFX) in this 42-minute conference talk from TF World '19. Discover how Google's open-source ML infrastructure platform addresses deployment and scaling challenges inherent in production ML systems. Learn about TFX components, metadata storage, pipeline orchestration, and directed acyclic graphs. Gain insights into custom components, fairness indicators, and feature space coverage. Presented by Robert Crowe and Charles Chen, this talk offers valuable knowledge for ML practitioners looking to design scalable and maintainable production pipelines.
