Oracle Machine Learning (OML)

In-database ML, AutoML, performance tips, and SQL/PLSQL examples.

Oracle OML Data Science Agent in Action: Building a Delivery Delay Prediction Demo with Synthetic Shipment Data

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Oracle Data Science Agent is a newly introduced Oracle Machine Learning capability for Oracle Autonomous AI Database, designed to bring conversational analytics and machine learning into the database experience. At the time of writing, Oracle presents it as a fresh capability in Limited Availability. Rather than moving across multiple tools for data discovery, preparation, feature […]

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Managing ML Performance in the Database: A friendly guide to LOW / MEDIUM / HIGH on OML

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A common question when using Oracle Machine Learning (OML) on Autonomous Database / Autonomous AI Database is: “What exactly do LOW, MEDIUM, and HIGH mean. And when should I use each one?” These are not informal labels. They are predefined database services (service names in your wallet / tnsnames.ora) that map to resource consumer groups.

Managing ML Performance in the Database: A friendly guide to LOW / MEDIUM / HIGH on OML Read More »

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