yboris

This reader’s recommendations and supporting excerpts from the sampled discussions.

13 books

yboris · Dec 12, 2018
Three Body Problem is great
yboris · Nov 30, 2022
A classic in the Math field is How to Solve It by Georg Polya
yboris · Nov 30, 2022
Predictably Irrational by Dan Ariely - a classic book in the field.
yboris · Dec 12, 2018
Deep Work is excellent and likely a very useful read for most of the programmers / engineers / (data) scientists ... pretty much any "information worker"!
yboris · Nov 30, 2022
A great general one that HN folks should enjoy: Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian & Tom Griffiths
yboris · Nov 30, 2022
for improving statistical thinking, the classic How to Lie With Statistics by Darrell Huff
yboris · Aug 12, 2019
I loved Deep Learning with Python by François Chollet
yboris · Dec 12, 2018
The top 4 this year for me: How Not to Be Wrong: The Power of Mathematical Thinking
yboris · Dec 12, 2018
Algorithms to Live By: The Computer Science of Human Decisions
yboris · Sep 10, 2022
In psychology, I think Culture of Honor is absolutely stellar:
yboris · Dec 12, 2018
How to Change Your Mind: What the New Science of Psychedelics Teaches Us about Consciousness, Dying, Addiction, Depression, and Transcendence
yboris · Nov 30, 2022
Mindware by Richard Nisbett - a researcher focusing on this for decades distills his best insight in a recent book.