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Oracle Machine Learning Notebooks with SQL allow Data Scientists to collaborate using Oracle Autonomous Database
Oracle Machine Learning Notebooks is a collaborative user interface for data scientists and business and data analysts who perform machine learning in the Autonomous Databases -- Autonomous Data Warehouse (ADW) and Autonomous Transactional Database (ATP).
Oracle Machine Learning enables data scientists, citizen data scientists, and data analysts to work together to explore their data visually and develop analytical methodologies in the Autonomous Data Warehouse Cloud. Oracle's high performance, parallel and scalable in-Database implementations of machine learning algorithms are exposed via SQL and PL/SQL using Apache Zeppelin-based notebook technology. Oracle Machine Learning Notebooks enables teams to collaborate to build, assess, and deploy machine learning solutions, while increasing data scientist productivity. Oracle Machine Learning Notebooks focuses on ease of use and simplified machine learning for data science – from preparation through deployment – all in the Autonomous Database.
For a complete list of features and enhancements, see the product release notes in the documentation.