Vi använder cookies för att förbättra upplevelsen av Bookmates-webbplatsen och för att ge dig våra rekommendationer.
För mer information, läs vår cookiepolicy.
Godkänn alla cookies
Kakinställningar
Algorithms to Live By: The Computer Science of Human Decisions, Brian Christian
en
Brian Christian

Algorithms to Live By: The Computer Science of Human Decisions

Berätta för mig när boken läggs till
För att kunna läsa den här boken överför filer i EPUB- eller FB2-format till Bookmate. Hur laddar jag upp en bok?
{"strong"=>["A fascinating exploration of how computer algorithms can be applied to our everyday lives."]}
In this dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show us how the simple, precise algorithms used by computers can also untangle very human questions. Modern life is 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? The authors explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others.
From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms To Live By is full of practical takeaways to help you solve common decision-making problems and illuminate the workings of the human mind.
mer
Den här boken är inte tillgänglig just nu
577 trycksidor
Ursprunglig publicering
2016
Utgivningsår
2016
Har du redan läst den? Vad tycker du om den?
👍👎

Citat

  • Gewhar citeratför 2 år sedan
    Look-Then-Leap Rule: You set a predetermined amount of time for “looking”—that is, exploring your options, gathering data—in which you categorically don’t choose anyone, no matter how impressive. After that point, you enter the “leap” phase, prepared to instantly commit to anyone who outshines the best applicant you saw in the look phase.
  • dina004dhar citeratför 3 år sedan
    The math shows that when there are a lot of applicants left in the pool, you should pass up even a very good applicant in the hopes of finding someone still better than that—but as your options dwindle, you should be prepared to hire anyone who’s simply better than average. It’s a familiar, if not exactly inspiring, message: in the face of slim pickings, lower your standards. It also makes clear the converse: with more fish in the sea, raise them. In both cases, crucially, the math tells you exactly by how much.
  • dina004dhar citeratför 3 år sedan
    Merrill Flood. Though he is largely unheard of outside mathematics, Flood’s influence on computer science is almost impossible to avoid. He’s credited with popularizing the traveling salesman problem (which we discuss in more detail in chapter 8), devising the prisoner’s dilemma (which we discuss in chapter 11), and even with possibly coining the term “software.”

I bokhyllorna

fb2epub
Dra och släpp dina filer (upp till fem åt gången)