sean.settle (4) [Avatar] Offline
#1
Section 1.4.1 says validation will be explained in the next chapter, but a quick search didn't find any mention of validation in
Chapter 2. Figure 3.3 is the depicts training and testing, but would be helpful to include some mention of validation. Around Listing 3.4 would also a perfect opportunity to go into a little more detail about how training, testing, and validating all fit together by discussing a little bit on finding the optimal lambda (the regularization parameter), and then measuring how well the model generalizes. This would go a long way to address what lambda to use and why.