ADS is the Oracle Data Science Cloud Service's python SDK supporting, model ops (train/eval/deploy), along with running workloads on Jobs and Pipeline resources.
Non-Time-Based Anomaly Detection refers to identifying patterns, behaviors, or items in datasets that do not conform to expected norms or patterns and are not reliant on temporal data. Unlike time-based anomaly detection, which focuses on detecting anomalies in data sequences over time, non-time-based anomaly detection focuses on static datasets or non-temporal features.
Non-Time-Based Anomaly Detection refers to identifying patterns, behaviors, or items in datasets that do not conform to expected norms or patterns and are not reliant on temporal data. Unlike time-based anomaly detection, which focuses on detecting anomalies in data sequences over time, non-time-based anomaly detection focuses on static datasets or non-temporal features.
ODSC-58209