Teaching Assistant for Machine Learning (Graduate)

I was a teaching assistant for Professor Sang Hyun Park’s Machine Learning class at the Department of Robotics and Mechatronics Engineering, DGIST, which was a graduate-level course lasting 15 weeks. My role as a TA involved grading assignments and exams, leading review sessions, and providing individualized feedback to students. I was also responsible for delivering mini-lectures on specific topics and conducting lab experiments to help students understand complex concepts.

Cousre Contents

Introduction to Machine Learning, Linear Regression, Logistic Regression, Decision Trees, Random Forests and Boosting, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Naive Bayes, Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Dimensionality Reduction Techniques (PCA, LDA), Clustering (K-Means, Hierarchical Clustering), Natural Language Processing (NLP)