This lecture series is part of the Asi@Connect project Intelligent Medical Services over TEIN.

Machine learning will dramatically improve health care. There are already myriad impactful ML health care applications from imaging to predicting readmissions to the back office. This lecture series will address the machine learning basics and their importance to the medical domain, along with issues related to data quality enhancement. Furthermore, this lecture series will lay the foundation for understanding supervised learning and intuition behind a number of ML models along with fundamental concepts in the visualization of model performance under various kinds of uncertainty.