Algorithms to live by the computer science of human decisions
- Algorithms to Live By
- Algorithms to Live By: The Computer Science of Human Decisions
- Algorithms to Live By (Book Review)
Algorithms to Live By
The Computer Science of Human Decision Making - Tom Griffiths - TEDxSydneythe move your body girl makes the fellas go
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A very interesting primer on the sort of "real-life problems" that have parallels with computer science problems, explained elegantly without numbers and formulae, opting for the better approach of Subtitle "The computer science of hard decisions" It seems at the face of it very simplistic, and my thesis from a quick read is that it suffers from a fundamental fallacy. Computers are immortal, and Brian Christian , Tom Griffiths. All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept?
Being able to explain complex ideas in simple words is the hallmark of mastery of a subject, and Brian Christian and Tom Griffiths prove every bit of theirs in this book. Algorithms to Live By takes you on a journey of eleven ideas from computer science, that we, knowingly or not, use in our lives every day.
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Though all Christians start a wedding invitation by solemnly declaring their marriage is due to special Divine arrangement, I, as a philosopher, would like to talk in greater detail about this If you prefer Mr. Martin to every other person; if you think him the most agreeable man you have ever been in company with, why should you hesitate? It's such a common phenomenon that college guidance counselors even have a slang term for it: the "turkey drop. An angst-ridden Brian went to his own college guidance counselor his freshman year.
Algorithms to Live By: The Computer Science of Human Decisions
The Accuracy Paradox - When More is Less - Overfitting - Data Science
Algorithms to Live By (Book Review)
By Brian Christian and Tom Griffiths. Imagine you're searching for an apartment in San Francisco—arguably the most harrowing American city in which to do so. The booming tech sector and tight zoning laws limiting new construction have conspired to make the city just as expensive as New York, and by many accounts more competitive. New listings go up and come down within minutes, open houses are mobbed, and often the keys end up in the hands of whoever can physically foist a deposit check on the landlord first. Such a savage market leaves little room for the kind of fact-finding and deliberation that is theoretically supposed to characterize the doings of the rational consumer. Unlike, say, a mall patron or an online shopper, who can compare options before making a decision, the would-be San Franciscan has to decide instantly either way: you can take the apartment you are currently looking at, forsaking all others, or you can walk away, never to return. Let's assume for a moment, for the sake of simplicity, that you care only about maximizing your chance of getting the very best apartment available.
A fascinating exploration of the workings of computer science and the human mind. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades.