Optimization
Prerequisites: Foundation courses.
Recommended path
- If you want to learn Optimization while referring back to ML and going through coding exercises, go for the CMU course.
- If you want to learn the material mainly through a book, go with Boyd's textbook and course.
- For a more approachable course or simply additional explanations, check out Ahmad Bazzi's videos.
Course | Year | Description | Difficulty Level | Resources |
2018 | This course goes over fundamental topics in convex optimization while tying it back to Machine Learning and Statistics and it's a lot more computational than EE364A. | Medium | ||
2008 | This course is essentially a walkthrough by Boyd of the topics covered in his book. It's a bit more difficult and fast-paced than the CMU course. | Medium | ||
2019 | This course is very complementary to either of the above courses, but is a bit more approachable as it goes through the same/similar examples with more steps. | Medium | 🗋 |
Supplementary Resources
Resource | Year | Description | Type |
2004 | The corresponding book for EE364A. The book ≈ a more detailed version of the lecture slides. | 📚 |
Last modified 1yr ago