intro video
summary
Conference intro previews a case study that builds a prediction pipeline around a narrative called Alice and the Mad Hatter, contrasts a data scientist perspective with a big data engineering perspective, and unpacks the concrete pieces: data sources, feature engineering, model choice, deployment and monitoring as an end-to-end pipeline. The video promises story-driven examples, engineering tradeoffs, and practical lessons learned from production experiments.
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