Getting started with Watson Machine Learning
With Watson Machine Learning, you can deploy and manage AI assets, and put them into and production.
Watson Machine Learning enables you to deploy and manage AI assets in pre-production and production environments. You can monitor the deployed assets for fairness and explainability. Watson Machine Learning supports various types of deployments, including online, batch, and more, and allows you to deploy and manage assets using a no-code or custom-code approach.
With Watson Machine Learning, you can deploy and manage AI assets at scale, monitor their performance, and ensure fairness and explainability. The platform provides a range of features, for model deployment, as well as support for popular machine learning frameworks and libraries. By using Watson Machine Learning, you can accelerate your AI deployment, improve model accuracy and fairness, and reduce the risk of model drift and bias.
Checking whether the service is installed
An administrator must install Watson Machine Learning.
To check whether the service is installed:
- From the navigation menu, select .
- Search for Watson Machine Learning.
If the service is installed and ready to use, the tile in the catalog shows Ready to use.
Accessing the service
Cloud Pak for Data watsonx™ Depending on the other services that are installed, Watson Machine Learning is available from either of the IBM Cloud Pak® for Data experience or the IBM watsonx experience.
Follow these steps to access the Watson Machine Learning:
- From the navigation menu, select Services>Services catalog.
- Search for Watson Machine Learning. The Watson Machine Learning service is enabled by default. Click the tile to review details.
Learn more
To learn more about Watson Machine Learning, see the following topics based on the experience that is available in your environment: