How To Build A Decision Tree Model In IBM Db2
IBM News, April 13th, 2023
After developing a machine learning model, you need a place to run your model and serve predictions.
If your company is in the early stage of its AI journey or has budget constraints, you may struggle to find a deployment system for your model. Building ML infrastructure and integrating ML models with the larger business are major bottlenecks to AI adoption [1,2,3]. IBM Db2 can help solve these problems with its built-in ML infrastructure. Someone with the knowledge of SQL and access to a Db2 instance, where the in-database ML feature is enabled, can easily learn to build and use a machine learning model in the database.
In this post, I will show how to develop, deploy, and use a decision tree model in a Db2 database.