Introduction
EPFL Machine Learning Course CS-433 is designed for undergraduate and graduate students, covering core theory, algorithms, applications, and ethics, with extensive lectures, labs, and project resources.
Key Features
- Systematic coverage of machine learning fundamentals
- Includes lectures, labs, projects, and code templates
- Weekly video lectures and Q&A
- Public access to past exams and solutions
- Open-source resources for self-study and review
Use Cases
- University machine learning course instruction
- Self-study and advanced learning
- Project practice and team collaboration
- Reviewing and supplementing course content
Technical Highlights
Course resources are mainly in Jupyter Notebook and Python, accessible across platforms, continuously updated, and open for community contributions.