<ul data-eligibleForWebStory="true"><li>Decision trees play a crucial role in managing complex ML systems as orchestration logic.</li><li>They are used for routing data, feature selection, policy application in production pipelines.</li><li>Decision trees interact with MLflow, Airflow, Kubernetes, and other tools for deployment.</li><li>Real-world use cases include A/B testing, feature gating, policy enforcement, and more.</li><li>Implementation involves updating decision trees, monitoring, and optimizing performance for scalability.</li></ul>

Machine Learning Fundamentals: decision trees example

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