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Chargement... Algorithms to Live By: The Computer Science of Human Decisions (original 2017; édition 2016)par Brian Christian (Auteur)
Information sur l'oeuvreAlgorithms to Live By: The Computer Science of Human Decisions par Brian Christian (2017)
Chargement...
Inscrivez-vous à LibraryThing pour découvrir si vous aimerez ce livre Actuellement, il n'y a pas de discussions au sujet de ce livre. An interesting idea for a book that almost works, to identify knowledge from the domain of computer science that can translate to everyday life. There are at least a few ideas that are not so well known and provide interesting insight. But there are as many that are relatively well known and not as practical to apply. This was a fun read, my aim with this book was to gain an overview of algorithms being actually applied in the real world, and it absolutely delivered on this! I also had an impression that it would predominantly be geared towards self-help (with an algorithmic computer science twist) but thankfully, it wasn't so. Rather, it was sprinkled in along the end of every chapter and for the most part, motivating me to continue reading further (again, algorithms being actually applied - yippee!). Most of the contents within every chapter focuses on introducing the specific field, explaining the actual algorithms, and providing insights of their applications in the real world. The authors seem to be quite well read too, I enjoyed them citing different figures and fields. At times trying to understand the actual algorithms in their abstract nature was a bit frustrating. In fact, I gave up during my first read in the midst of trying to understand the the first chapter. However, what helped me was rereading those excerpts a few times and then it usually clicks. Overall, definitely recommended! aucune critique | ajouter une critique
Appartient à la série éditorialeSci-Clopedia (4) Distinctions
A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind. 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? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such issues for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They 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 memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.--From dust jacket. Aucune description trouvée dans une bibliothèque |
Critiques des anciens de LibraryThing en avant-premièreLe livre Algorithms to Live By de Brian Christian était disponible sur LibraryThing Early Reviewers. Discussion en coursAucunCouvertures populaires
Google Books — Chargement... GenresClassification décimale de Melvil (CDD)153.4Philosophy and Psychology Psychology Cognition And Memory Thought, thinking, reasoning, intuition, value, judgmentClassification de la Bibliothèque du CongrèsÉvaluationMoyenne:
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If you are not well-versed in programming topics it might be a bit hard to understand some points that the author makes but I think it would still be a nice read. ( )