My Notes From Spark+AI Summit 2020 (Application-Specific Talks)
Read OriginalThis article provides detailed notes from the Spark+AI Summit 2020, focusing on application-specific sessions. It covers topics like feature engineering frameworks (Airbnb's Zipline), data engineering frameworks, feature stores (Gojek's Feast), data quality approaches (Netflix), and applications of unsupervised and reinforcement learning at companies like LinkedIn and Zynga. The content is deeply technical, discussing machine learning infrastructure, production challenges, and specific engineering solutions.
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