watching how the field changed after the book came out I realized there's a lot of topics that were maybe extraneous in the first book and just seeing what stood the test of a few years of being published and what seems a little bit less important to have included now helped me pare down the topics I wanted to cover for the book it's also really nice now that the field is kind of stabilized to the point where some core ideas from the 1980s are still used today when I first started studying machine learning almost everything from