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January 19, 2018

Introducing Oracle Machine Learning Notebooks for Oracle Autonomous Database!

Charlie Berger
Sr. Dir. Product Management, Machine Learning, AI and Cognitive Analytics

Oracle Machine Learning Notebooks for the Oracle Autonomous Database

Overview

Oracle Machine Learning provides a new notebook interface for data scientists to perform machine learning in Oracle Autonomous Database. Notebook technologies support the creation of scripts while supporting the documentation of assumptions, approaches and rationale to increase data science team productivity. Oracle Machine Learning Notebooks, based on Apache Zeppelin technology, enable teams to collaborate to build, evaluate and deploy predictive models and analytical methodologies in the Oracle Database. Multi-user collaboration enables the same notebook to be opened simultaneously by different users. Changes made by one user are immediately updated for other team members.

Oracle Machine Learning Notebooks provide easy access to Oracle's parallelized, scalable in-database implementations of a library of Oracle Machine Learning algorithms (classification, regression, anomaly detection, clustering, associations, attribute importance, feature extraction, times series, etc.) and Oracle's statistical and analytical SQL functions. Oracle Machine Learning notebooks and Oracle Machine Learning's library ML functions allow companies to automate their discovery of new insights, generate predictions and add "AI" to data viz dashboards and enterprise applications.

To support enterprise requirements for security, authentication, and auditing, Oracle Machine Learning Notebooks adhere to all Oracle standards and supports privilege-based access to data, models, and notebooks.

Webinar: T he Changing Role of the DBA: From Database Developer to Data Scientist in 6 Weeks!

YouTube: “Operationalizing” Machine Learning: Oracle Autonomous Database, ATP, Oracle Machine Learning & REST

Key Features

Collaborative notebook UI for data scientists
Packaged with Autonomous Database
Easy access to shared notebooks, templates, permissions, scheduler, etc
Access to 30+ parallel, scalable in-database implementations of machine learning algorithms
SQL and PL/SQL languages supported; Python and R coming soon.
Enables and supports deployments of ML models in the Oracle Autonomous Database.

Screen Shots

Disclaimer: Product details/functionality subject to change.

Oracle Machine Learning enables data science teams to collaboratively build machine learning methodologies in the Oracle Autonomous Database.

OML Notebooks provide easy access to data managed in Oracle Autonomous Database for quick analysis, simple visualizations and building machine learning solutions.