koldfront

Weapons of Math Destruction (2016) #books #math

🕧︎ - 2022-10-01

I bought this book in 2018 and read up until half of the last chapter and the conclusion and then... uh... shelved it for a couple of years. I'm here to report that that is not the ideal way to read a book.

I seem to remember what I originally read was quite good, which a bunch of examples - and not much in way of specifics of how these machine learning, artificial intelligence, big data systems actually work.

Reading the remaining part of the book 4 years later it hit me that the conclusion is very USA-centric, which makes sense of course, but for me it felt a little narrow in perspective.

Add comment

To avoid spam many websites make you fill out a CAPTCHA, or log in via an account at a corporation such as Twitter, Facebook, Google or even Microsoft GitHub.

I have chosen to use a more old school method of spam prevention.

To post a comment here, you need to:

¹ Such as Thunderbird, Pan, slrn, tin or Gnus (part of Emacs).

Or, you can fill in this form:

+=