Applied Machine Learning and Healthcare Data Mining

4.0 credits

Foundational course focusing on the understanding, application, and evaluation of machine learning and data mining approaches in data-intensive scenarios. Imbalanced data, outlier detection, text mining, introduction to natural language processing (NLP). Supervised, unsupervised learning. Emerging methods such as semi-supervised and self-supervised learning. Introduction to neural network-based models.