UML also includes the proof though – it hasn’t skipped any important proof so far. I just didn’t want to replicate it here, because I didn’t feel like understanding the steps of the proof really helped my intuition in any significant way.
LFD was my first intro to statistical learning theory, and I think it’s pretty clear. It doesn’t cover the No Free Lunch Theorem or Uniform Convergence, though, so your review actually got me wanting to read UML. I think that if you’re already getting the rigor from UML, you probably won’t get too much out of LFD.
I haven’t. Would you say that it is good?
UML also includes the proof though – it hasn’t skipped any important proof so far. I just didn’t want to replicate it here, because I didn’t feel like understanding the steps of the proof really helped my intuition in any significant way.
Ah, gotcha.
LFD was my first intro to statistical learning theory, and I think it’s pretty clear. It doesn’t cover the No Free Lunch Theorem or Uniform Convergence, though, so your review actually got me wanting to read UML. I think that if you’re already getting the rigor from UML, you probably won’t get too much out of LFD.