Regularization is weird - I understand what it's supposed to do but not how (not well).
There's an example where the textbook uses this concept of fractional degrees of freedom - which isn't particularly easy to understand - as I don't have a very firm grasp of it to start with.
forgot to save this last time I wrote this out.
I started reading ch2 of the systems textbook and discovered the chapter is 100p long so I won't have skimmed all of 2/ part of 3 by tomorrow - not sure exactly how much I'll get to yet. Probably just 2 while dipping deeper at a couple points.
Please discuss tomorrow - you're not giving me enough here to understand how to follow up on your questions. I don't see "fractional degrees of freedom" in the "Hands-on Machine Learning" book ... so which text do you mean?
Yes, there are lots of pages in the systems book. It covers a lot of stuff, only some of which we'll want to dive into deeply.
