This course teaches advanced machine learning and NLP techniques to analyze unstructured healthcare text documents. You will identify text-mining approaches to extract health-related information and understand how training deep learning models differs from traditional machine learning models.
This course is ideal for aspiring data scientists or professionals in healthcare data science or IT. It builds on intermediate-level data science concepts, focusing on challenges like recognizing medical entities, extracting clinical information, and addressing ambiguity.
🆓 Free to Audit
🕒 Approx. 24 Hours
✏️ Intermediate Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by The University of Michigan via Coursera
