Algorithms to Live By pdf epub mobi txt 电子书 下载 2024


Algorithms to Live By

简体网页||繁体网页
Brian Christian
Henry Holt and Co.
2016-4-19
368
USD 30.00
Hardcover
9781627790369

图书标签: 算法  思维  计算机  Algorithms  方法论  科普  数学  心理学   


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发表于2024-04-27

Algorithms to Live By epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Algorithms to Live By epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Algorithms to Live By pdf epub mobi txt 电子书 下载 2024



图书描述

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.

Algorithms to Live By 下载 mobi epub pdf txt 电子书

著者简介

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.


图书目录


Algorithms to Live By pdf epub mobi txt 电子书 下载
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用户评价

评分

"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",确实如此,希望我本科时就读过 (不过16年才出来呀...)

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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

观点大多数是已经知道了的,大概作为科学从事者,看这种科普书就是这点无趣。在想白熊是不是计算到26岁该leap,才跟我求婚的orz

评分

37%規則:以買房為例,目標一年內,前 37% 的時間只看不買,在預算內了解一下市場上哪些房子你喜歡,哪些不喜歡,記住這個階段內你看到過的最滿意的那個,等到過了 37% 這個時間點,一旦遇到比前一階段那個最好的房子好,或者類似的房子,就毫不猶豫地買下來。數學家的時間管理思維:1. 最近截止日期優先 2. 如果最近截止日期優先法還是做不完,優先放棄佔用時間最長的任務 3. 如果牽涉到別人的等待時間,則完成時間短的任務優先 4. 小事與要事的衡量公式,任務密度 = 重要程度 / 完成時間,然後按照任務的密度由高到低的順序去做。

评分

Have you updated your OS today yet? #wethebots

读后感

评分

画说那些被豆瓣低估了的好书之Algorithms to Live By - 算法优化生活 一本在豆瓣被严重低估的小书,Algorithms to Live By ,中文译名“算法之美”,如何用计算机算法优化生活。虽然书名看起来很深奥,实际上可读性很强,也不需要任何算法基础——应该说,反而更加适合对计算机...  

评分

评分

画说那些被豆瓣低估了的好书之Algorithms to Live By - 算法优化生活 一本在豆瓣被严重低估的小书,Algorithms to Live By ,中文译名“算法之美”,如何用计算机算法优化生活。虽然书名看起来很深奥,实际上可读性很强,也不需要任何算法基础——应该说,反而更加适合对计算机...  

评分

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...  

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在Amazon的实体店看到这本书,男朋友说他那位饱读诗书的室友也觉得不错,这才打算投入时间读一读。 开头惊艳,apartment hunting,这么个艰难纠结的过程居然能给出一个精确的数字来解决?没错,用37%的时间/精力/candidates来建立你的baseline,之后再用这个baseline来判断剩...  

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