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Use Postman to work with OML Services in OCI

About This Workshop

Youtube Video

About This Workshop
With the introduction of Oracle Machine Learning Services with Oracle Autonomous Database, Oracle makes it easy for data science teams and application developers to manage and deploy machine learning models using a REST API, and for ease of application integration. OML Services extends OML functionality to support model deployment and model lifecycle management for both in-database OML models and third-party Open Neural Networks Exchange (ONNX) format machine learning models through REST APIs.
In this workshop, we are going to crate, train, deploy and score machine learning models based on customer insurance data using Autonomous Database and tools like AutoML User Interface, and OML Services and REST APIs.

Workshop Info

4 hours
  • Load data into Autonomous Database
  • Prepare data for modeling
  • Use AutoML to create a machine learning model
  • Score data using REST API
  • Storing an OML model and score it using OML Services
  • Storing an ONNX model and score it using OML Services
  • Familiarity with the Database is desirable.
  • Basic knowledge of Machine Learning  concepts and common terms
  • Basic understanding of Machine Learning algorithms and their use
  • Some understanding of cloud and database terms is helpful
  • Familiarity with Oracle Cloud Infrastructure (OCI) is helpful

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