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The talk shows how data scientists use Julia to analyze data and develop anomaly detection algorithms, then operationalize them in a real-time pipeline that complements a Java web application for data collection and alerting.
Syllabus
Using Julia as part of an Anomaly Detection pipeline | Tellis | JuliaCon 2024
Taught by
The Julia Programming Language