I took convex optimization class when I was a Berkeley undergrad. Honestly a big part of the course and homework felt like plug in equation. I felt like I don't get much intuition or big picture, especially towards the end of the class (Duality, KKT, etc...) I want to take this class again next year as a graduate student. Excited about your blog, hopefully I could gain some big pictures from the blog.
Definitely sign up! It would be great to have you. The class will still have problem sets and math derivations, but I'm aiming to provide a lot of intuition and context.
Looking forward to the rest of the Meehl series, which has brought up many interesting topics. And certainly looking forward too to series on Convex Optimisation. It is difficult to think of a more useful framework in Computer Science and Electronic Engineering. Random search maybe? 🤔
I took convex optimization class when I was a Berkeley undergrad. Honestly a big part of the course and homework felt like plug in equation. I felt like I don't get much intuition or big picture, especially towards the end of the class (Duality, KKT, etc...) I want to take this class again next year as a graduate student. Excited about your blog, hopefully I could gain some big pictures from the blog.
Definitely sign up! It would be great to have you. The class will still have problem sets and math derivations, but I'm aiming to provide a lot of intuition and context.
Looking forward to the rest of the Meehl series, which has brought up many interesting topics. And certainly looking forward too to series on Convex Optimisation. It is difficult to think of a more useful framework in Computer Science and Electronic Engineering. Random search maybe? 🤔