Chapter 7. Conclusion
Congratulations. In this tutorial, you learned how to incorporate data science, artificial intelligence, and machine learning into an OpenShift development workflow.
You used an example fraud detection model and completed the following tasks:
- Explored a pre-trained fraud detection model by using a Jupyter notebook.
- Deployed the model by using OpenShift AI model serving.
- Refined and trained the model by using automated pipelines.
- Learned how to train the model by using Ray, a distributed computing framework.
