Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists by eliminating the need to move data to dedicated machine learning systems.

Its available on Oracle Autonomous Database even with Oracle Cloud - Always Free tier.

This makes learning easier too without any local install.

OML Notebooks:

Data scientists and developers develop analytical solutions through an easy-to-use, multiuser collaborative interface based on Apache Zeppelin notebook technology,

supporting interpreters for Python, SQL, and PL/SQL on Oracle Autonomous Database.

OML for SQL:

SQL and PL/SQL users leverage in-database computation for data preparation & exploration, machine learning model building, evaluation, and deployment.

Leverage scalable in-database machine learning algorithms and make predictions directly in SQL queries.

OML for Python:

Python users gain the performance and scalability of Oracle Database (on premises) and Oracle Autonomous Database for data exploration, preparation, and machine learning from

a well-integrated Python interface with support for AutoML and immediate deployment of user-defined Python functions from REST endpoints.

OML AutoML User Interface:

A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression.

The Course has following topics of coverage:

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•OLTP Vs OLAP.

•Programming vs Machine Learning

•Types of Machine Learning.

•Getting Access to OCI.

•Provisioning Oracle Autonomous Database.

•Oracle Machine Learning Overview.

•Logging into Machine Learning Console, Navigation & Creation of user

•Overview about Zeppelin Notebook

•SQL based

•Data visualization.

•Machine Learning.

•Using Python in Oracle Machine learning.

•Auto ML Experiment Provisioning & Execution

•Deployment of Model.

•Job Schedule of OML note book.

Happy Learning!!!