Cool, I'm excited to read this series. Was a little disappointed to see neural networks noted as "classical" with SVMs designated "modern". And nothing about

Cool, I'm excited to read this series. Was a little disappointed to see neural networks noted as "classical" with SVMs designated "modern". And nothing about deep learning? Autoencoders? How about different optimization methods--Truncated newton vs gradient descent? Some of the most interesting recent developments in ML seem to be left out, even if it is just an introduction.