Hung-Yi Lee Machine Learning
Descriptions
- Source: National Taiwan University (Hung-Yi Lee)
- Prerequisites: Python basics, linear algebra, probability
- Programming Language: Python
- Difficulty: 🌟🌟🌟
- Class Hour: 50+
Hung-Yi Lee is a professor at NTU. His ML course is the highest-quality Chinese ML course available. It's updated yearly, covering both traditional ML and cutting-edge deep learning.
Course Resources
- Lectures: Bilibili
- Website: speech.ee.ntu.edu.tw
- Assignments: Updated yearly, available on course website
Course Features
- Chinese lectures: Fluent language with clear concept explanations
- Cutting-edge content: Covers Transformers, GANs, BERT, GPT, and more
- Updated yearly: Content continuously updated to follow AI frontier
- Rich assignments: Each topic has accompanying programming assignments
Self-Study Tips
Pair with Andrew Ng. Andrew Ng covers foundations; Hung-Yi Lee covers cutting-edge topics. They complement each other.
Do the course assignments. Hung-Yi Lee's assignments are well-designed for deep understanding.
Watch the latest year's lectures. Content is updated annually; watch the most recent version.
Notes
Hung-Yi Lee's ML course is the best choice for Chinese-language ML learning. If you want to learn ML in Chinese, this is the top pick.