Presented at INSYNC 21

Session ID: 101960

In-database machine learning offers automation, scalability, and ease of deployment. With the arrival of 21c, there are a few new “faces” to Oracle Machine Learning (OML) to take you further in your data science projects. OML on Autonomous Database introduces a Python API, a no-code AutoML user interface, and a database-external model deployment REST interface. With OML for Python, data scientists leverage the database as a high-performance data science compute engine – minimizing data movement – as well as benefit from powerful automated machine learning. OML AutoML UI places a no-code user interface in the hands of data scientists and non-expert users as a productivity tool to automate the modeling and deployment process. OML Services provides REST endpoints for model management and deployment along with cognitive text analytics. Join us for this OML overview with demonstrations.