I couldn’t have asked for a denser review of such a technical and diverse domain. It’d been more a year since I graduated (majored in computer science and minored in artificial intelligence) and so I decided to brush up on some basics and consolidate what I’d studying since the past ~4 years.
I also picked up the book to systematically populate my org-roam buffer and have my root node rooted here in the braindump.
I took this up when I had to setup a bunch of NLP pipelines for work and this does stand true to its name - it is a quick and practical index into approaches, introductory theory and useful libraries for the same.
I don’t like reading text books at a stretch due to several reasons:- “cross a bridge, when you get to it” is something that has stood the test of time for me when it comes to reading practical books. I don’t find it useful to read stuff without the doing if that is what the book is intended for.
