Data Discovery for ML Engineers
Real-world production ML systems consist of two main components: data and code. Data is clearly the leader, and rapidly taking center stage. Data defines the… Read More »Data Discovery for ML Engineers
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AI Data Stores
This rubric covers databases from SQL workhorses to the latest in graph computing. Because DSC focuses on computation and modeling, the rubric does not deal as much with traditional data management issues, but it does explore database systems (SQL and no-SQL) that are heavily used within data science or analytic circles.