Here's our Dec 29, 2021 draft! This draft includes a large portion of our new Chapter 11, which covers BERT and fine-tuning, augments the logistic regression chapter to better cover softmax regression, and fixes many other bugs and typos throughout (in addition to what was fixed in the September draft, which added
various missing sections (more on transformers, including for MT, various updated algorithms, like for dependency parsers, etc.).
Minor update: the Dec 29, 2021 draft had some errors in PDF files for chapters 9, 10, and 11, that made them unviewable in some PDF readers.
On Jan 12, 2022 we updated the pdfs for the entire book and for those 3 chapters, so if you downloaded earlier, you might want to redownload. The content did not change from the Dec 29 2021 draft.
We've put up a list here of the amazing people who have sent so many fantastic suggestions and bug-fixes for improving the book.
We are really grateful to all of you for your help, the book would not be possible without you!
Individual chapters are below;
here is a single pdf of all the chapters in the Jan 12, 2022 draft of the book so far!
(This is the same exact content as the Dec 29, 2021 draft but with some PDF errors fixed that prevented Adobe Acrobat Reader from displaying some figures in chapters 9, 10, and 11)
Feel free to use the draft chapters and slides in your classes, the resulting feedback we get from you makes the book better!
As always, typos and comments very welcome (just email email@example.com
and let us know the date on the draft)!
(Don't bother reporting missing refs due to cross-chapter cross-reference problems in the indvidual chapter pdfs, those are fixed in the full book draft)
When will the whole book be finished? Don't ask.
If you need last year's December 2020 draft chapters,
they are here;
the September 2021 draft chapters are