Data comes in many forms, all of it messy. Whether we’re talking about missing data, unstructured data, or data that lacks regular structure, you need methods to cleanse data before you can process it to improve its quality.
In this episode, guest Sean Gupta sits down with TDS to discuss data models, risk assessment, and machine learning role in the healthcare industry. Sean also discussed why machine learning predictions based on criminal history perform better than models based on DASH features.