Machine Learning (ML) is the practice of training statistical models on existing data so they can make predictions or identify patterns in new, unseen data. InterSystems IntegratedML is a built‑in capability of InterSystems IRIS that streamlines this process by exposing automated machine learning through simple SQL functions. This allows developers—even those without deep ML expertise—to build, train, and deploy predictive models directly within SQL workflows.

In this interactive tutorial, you will learn how to:

• Work with a real-world healthcare dataset
• Prepare and explore data for machine learning
• Train and validate a prediction model using InterSystems IRIS
• Evaluate model performance and generate predictions
• Apply machine learning models to practical use cases

This tutorial is ideal for:

• Developers interested in applying machine learning to real-world problems
• Data engineers and analysts exploring ML capabilities in InterSystems IRIS
• Developers who want a hands-on introduction to predictive modeling

No prior machine learning experience is required.

• Basic understanding of machine learning is helpful but not required
• A modern web browser
• No local installation or configuration needed

During the tutorial, you will:

1. Launch a ready-to-use InterSystems IRIS environment in your browser
2. Explore and prepare a publicly available healthcare dataset
3. Train and validate a machine learning model step by step
4. Generate predictions and analyze the results

The tutorial is fully guided and designed to be completed in a single session.

After completing this tutorial, you will have:

• Hands-on experience with the full machine learning workflow
• A trained and validated prediction model
• A practical understanding of how to apply machine learning using InterSystems IRIS
• A foundation to explore more advanced analytics and ML scenarios