pickAwesome intro to how data models can inadvertently (or advertently) screw individuals and society over. Was going to be a great prelude to a data training but then the rona hit.
pickAwesome intro to how data models can inadvertently (or advertently) screw individuals and society over. Was going to be a great prelude to a data training but then the rona hit.
Leapt to the top of my TBR list as soon as I saw it.
Quick summary of good practices when coding using Python.
I'm currently in the section of the book covering the us news and world report impact on college admissions. I want to dig more into the industry that rose around this, anyone know of further reading on this? This feels similarly systemic as the tax prep market and the inefficiencies in health care.
so-so(2021) Scharf offers some provocative ideas about the "dataome": all of the information that humans have encoded (and are encoding) into our environment, and which, considered as an entity, has curious properties -- and maybe apocalyptic consequences. I love the sense of wonder here, and am intrigued about possible research, but too many arguments seem to me to rely on fuzzy definitions, shaky metaphors, and false equivalencies.
"In this instant, a precious one-second span out of the four and a half billion years Earth has existed as a bejeweled sphere of complexity and dynamism, I am gripped by one puzzle only: Can those really be tears glistening in the eyes of the museum guide standing in front of me?"
In other words, I might as well settle in because for the next 300 pages, word economy is out the window.
#FirstLineFridays
@ShyBookOwl
Great documentary and the author of this book is featured!
pan⭐ ⭐This book is a disappointing missed opportunity. I understand and share some of the author's concerns. We need discussions about how to manage these models, how to update them more frequently, how to build self correcting & self identifying attributes that help us identify & manage the downsides. This book should have been that discussion. It was not.
Full review: https://beta.thestorygraph.com/book_reviews/2170a799-10f1-44a8-95a4-3fbc732e4005
pickA quickish guide to statistics meant for general public. Its main text isn't super mathy, though the glossary defining terms certainly is. Overall though, its an approachable way to get people into looking at statistical claims more deepily than just the newspaper headlines. Filled with examples to help guide the reader in understanding topics. Does have a little bias on spots, but he calls it out for the reader for the most part.
