Algorithms to Live By: The Computer Science of Human Decisions
An interesting mix of computer science and psychology. Just started on this one recently. Highly recommended by a colleague. Seems great so far.
An interesting mix of computer science and psychology. Just started on this one recently. Highly recommended by a colleague. Seems great so far.
The reasons and explanations given seem to touch around a technical, but not too technical approach to algorithms. Getting stuck in a place that probably just leaves both audiences a bit unhappy. For instance, there is a chapter that mentions that the optimal stopping point is ~37%. There is never any mention about how the 37% number is found. Of course, I could look it up but I could just as well look up the optimal stopping problem.
Aside from that, the examples come across as contrived and inapplicable. Sure merge sorting your socks sounds great, but I still will never do it!
I still think it is better suited for those with little to no CS knowledge.
Many of the algorithms and ideas are familiar, but the novelty here is how one can map these CS lessons to improve performance on the human OS and human network.