• If you are new to machine learning, start with the 2017 Fall course (Regression, Transfer Learning, Deep Generative Models).

• If you have taken ML before and want to refresh, try the 2021 Spring course (Deep Learning, CNN, Transformer).

• To explore generative AI, diffusion models, and LLMs, check out the 2023 Spring or 2024 Spring courses.

Instructor: Prof. Hung-Yi Lee (李宏毅), National Taiwan University

機器學習基石上 Mathematical Foundations
機器學習基石下 Algorithmic Foundations
機器學習技法 Machine Learning Techniques
Johnny Tu提供的筆記

Instructor: Prof. Hsuan-Tien Lin (林軒田), National Taiwan University
These three Coursera courses provide a comprehensive and rigorous foundation in classical machine learning, including learning theory, linear models, and support vector machines. Highly recommended for students who want to understand the math and principles behind ML algorithms.