XAI501 – Machine Learning
This course covers basic machine learning concepts, including supervised learning and unsupervised learning, overfitting, regularization, and optimization. Also, theories and applications on the definition and methods of various machine learning problems such as dimension reduction, clustering, and anomaly detection will be discussed.
XAI511 – Neural Networks
This course covers concepts and applications of neural network models. Students can learn about the principles of neural network structures based on the mechanisms of biological neural cells.