伊恩•艾瑞斯(Ian Ayres) 计量经济学家、律师,耶鲁大学法学院和管理学院教授,stickK.com网站的创始人,《法律、经济学和组织机构期刊》(Journal of Law, Economics, and Organization)编辑,曾著有11本书,发表过100篇文章。他是《福布斯》杂志的专栏作家,著名公共广播节目《Marketplace》的时事评论员,是《纽约时报》“魔鬼经济学”博客的专栏作家之一。
其著作《Insincere Promises: The Law of Misrepresented Intent》获得了由美国艺术与科学学院颁发的Scribes图书奖。他成就卓著、名声斐然,曾受到《黄金时间实况》、《奥普拉脱口秀》、《早安美国》节目以及《时代周刊》《Vogue》等杂志的采访,可以说伊恩•艾瑞斯是那一代人里成就最多、文章观点被引用最多、名气最大的法学教授。
发表于2025-02-03
Super Crunchers 2025 pdf epub mobi 电子书
在大部分被数学折磨得死去活来的关注人类心灵的“人文学者”或是文艺青年眼里,数学不过是加减乘除,用来算算房价、股市收益或是购物打折就可以了,更高深点的东西是科学呆瓜们的事情。看看那帮毫无情趣的家伙,他们神情呆滞,体态孱弱,老是犯类似“然后,就没有然后了……”...
评分作者的宗旨是数据分析永远不可能完全取代传统的专家、机构、学者们做决策的职能,但是可以与这些直觉、经验、观察结合起来,作为辅证支持。 举几个有争议的例子 比如第八章: Direct Instruction 一开始就是形象的描述了什么是指导教学法。 指导教学法是完全按照指令来, 但是...
评分书是好书。就是翻译实在有点烂。害得还有些地方不怎么明白。但是具体也大概知道了。 作者不是用纯理论写的,而是主要用大量例子说明数据对不同行业带来革命性的变化。例如市场分析人员通过数据预测你想要购买的产品 ; eharmony通过个人性格预测你会和谁结婚 ;通过数据显示那...
图书标签: 统计 统计学 社会 思维 商业 datascience BetterRead
An international sensation—and still the talk of the relevant blogosphere—this Wall Street Journal and New York Times business bestseller examines the “power” in numbers. Today more than ever, number crunching affects your life in ways you might not even imagine. Intuition and experience are no longer enough to make the grade. In order to succeed—even survive—in our data-based world, you need to become statistically literate.
Cutting-edge organizations are already crunching increasingly larger databases to find the unseen connections among seemingly unconnected things to predict human behavior with staggeringly accurate results. From Internet sites like Google and Amazon that use filters to keep track of your tastes and your purchasing history, to insurance companies and government agencies that every day make decisions affecting your life, the brave new world of the super crunchers is happening right now. No one who wants to stay ahead of the curve should make another keystroke without reading Ian Ayres’s engrossing and enlightening book.
Sometimes it amazes me how scholars are able to fill a whole book with stuff that they can illustrate clearly in just one article. but the second part is not bad
评分Money Ball现实版
评分A lot of practical examples on how numbers influence industries. Not so deep or wide application in statistical methods. Only two methods are discussed: linear regression and random sampling.
评分A lot of practical examples on how numbers influence industries. Not so deep or wide application in statistical methods. Only two methods are discussed: linear regression and random sampling.
评分A lot of practical examples on how numbers influence industries. Not so deep or wide application in statistical methods. Only two methods are discussed: linear regression and random sampling.
Super Crunchers 2025 pdf epub mobi 电子书