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As machine learning (ML) becomes increasingly important across tech companies, feature engineering becomes a bigger focus for improving the predictive power of models. In fact, data scientists and ML engineers now spend 70% of their time on feature and data engineering. At DoorDash, most of our ML applications leverage our real-time prediction service (Sibyl), which ... The post Introducing Fabricator: A Declarative Feature Engineering Framework appeared first on DoorDash Engineering Blog....