Course Description :

(인공지능, 기계학습, 머신러닝) KOOC 인공지능및기계학습개론 문일철교수님 유튜브 강의 요약 및 개인 공부

Brief Course Schedule :

(introduction)

Week 1. Motivation and basics

Week 2. Fundamentals of machine learning

Week 3. Naive Bayes Classifier

Week 4. Logistic Regression Classifier

Week 5. Support Vector Machine Classifier

Week 6. Training/Testing and Regularization

Week 7. Bayesian Network

Week 8. K-Means Clustering and Gaussian Mixture Model

Week 9. Hidden Markov Model

Week 10. Sampling Based Inference

(Advanced)

Week 11. Variational Inference

Week 12. Dirichlet process

Week 13. Gaussian process

Week 14. Neural Network

You can find Online Lectures on YouTube.