About the Author
Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco.
Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley.
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.
从运动联盟排对阵表的角度看几种排序算法的角度倒是新颖。从第六章贝叶斯之后开始起飞了。从 overfitting 飞跃到了进化中的滞后,第七章 randomness 提到的 Monte Carlo 原来是被正经在研究原子弹的时候发明出来的,我当初还觉得自己用它省去了一些数学证明是作弊,turns out s...
评分 评分 评分听NPR的采访知道的这本书,印象是如何用算法帮助你找对象和收拾家。真读了以后感觉那些生活小窍门都是表层,这书的本质是用CS的角度去思考,从解决计算问题延伸到哲学。感触最深的是贝叶斯那章,人们都对prior有很好的直觉,但是这个直觉不停的在被追求吸引眼球的新闻扭曲。尤其现在这个一开电脑一摸手机,简直是一个人一个泡泡的世界里,protect your prior太艰辛了
评分Have you updated your OS today yet? #wethebots
评分上当了,骗子东抄西凑攒的垃圾,怀疑丫用搜索引擎写的,看作者努力过,两星够了。
评分看之前就比较担心是不是太trivial都是已经知道的东西,结果不幸料中。不过也好,打消了我写类似书的想法
评分算法入门,不错的科普书和科学自救手册
本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度,google,bing,sogou 等
© 2025 qciss.net All Rights Reserved. 小哈图书下载中心 版权所有