Oracle Machine Learning notebooks

    Mar 29, 2018 5:56:00 AM by Brendan Tierney

    With the recent release of Oracle's Autonomous Data Warehouse Cloud (ADWC), Oracle has given data scientists a new tool for data discovery and machine learning on the ADWC. Oracle Machine Learning is based on Apache Zeppelin and gives us a new machine learning tool for accessing the in-database machine learning algorithms and in-database statistical functions.

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

    The key features of Oracle Machine Learning include:

    • Collaborative SQL notebook UI for data scientists
    • Packaged with Oracle Autonomous Data Warehouse Cloud
    • 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 scripting language supported
    • Enables and Supports Deployments of Enterprise Machine Learning Methodologies in ADWC

    Here is a list of key resources for Oracle Machine Learning:

    Tags: Oracle Development

    Brendan Tierney

    Written by Brendan Tierney

    Brendan Tierney, Oracle ACE Director, is an independent consultant and lectures on Data Mining and Advanced Databases in the Dublin Institute of Technology in Ireland. He has 22+ years of extensive experience working in the areas of Data Mining, Data Warehousing, Data Architecture and Database Design. Brendan has worked on projects in Ireland, UK, Belgium and USA. Brendan is the editor of the UKOUG Oracle Scene magazine and deputy chair of the OUG Ireland BI SIG. Brendan is a regular speaker at conferences across Europe and the USA and has written technical articles for OTN, Oracle Scene, IOUG SELECT Journal and ODTUG Technical Journal. Brendan has published the following books with Oracle Press book Predictive Analytics using Oracle Data Miner Oracle R Enterprise SQL & PL/SQL from the Experts These books are available on Amazon.