1,264 karma · joined August 30, 2016
Email: suriabhinav1997@gmail.com
What you mention about cell division rates being slow was solved by the hybridoma protocol where you fuse two cells, one of which is a myeloma (cancer that is a rapidly reproducing cell line) and another is a B cell that produces Antibodies that are specific for your intended target. Since then there have been a lot of strides in monoclonal antibody production. [https://en.wikipedia.org/wiki/Monoclonal_antibody#Production]
It's just surprising that out of that content, this makes it to the frontpage. I'm not faulting the author, I'm just curious as to what insight HN readers got out of this article.
Tl;dr:
* This is dense
* This is hard to understand if you don't have an education in mathematics
* This is not really meant to be an "introduction to X" book unless you have the background knowledge
* Gallier (who imo is an awesome professor) really values rigor and not hiding anything behind hand-wavy statements. He is an incredibly serious mathematician + computer scientist (https://en.wikipedia.org/wiki/Jean_Gallier). Accordingly, this book (work in progress) tries to be incredibly detailed on the topics it chooses to cover (and may miss out on some areas of CS + ML solely bc it chooses detail over comprehensiveness).
See discussion here: https://news.ycombinator.com/item?id=21037400
That being said, this is faaaaaar beyond basics. It'd be more appropriate to call this an incomplete (aiming to be comprehensive) guide to almost everything you need to know in computer science (related to math).