Super Crunchers pdf epub mobi txt 電子書下載 2024

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Ian Ayres

Bantam

2008-8

320

USD 16.00

Paperback

9780553384734

圖書標籤: 統計統計學社會思維商業 datascience BetterRead

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发表于2024-06-29

Super Crunchers epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

Super Crunchers pdf epub mobi txt 電子書下載 2024

圖書描述

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.

Super Crunchers 下載 mobi epub pdf txt 電子書

著者簡介

伊恩•艾瑞斯（Ian Ayres）計量經濟學傢、律師，耶魯大學法學院和管理學院教授，stickK.com網站的創始人，《法律、經濟學和組織機構期刊》（Journal of Law, Economics, and Organization）編輯，曾著有11本書，發錶過100篇文章。他是《福布斯》雜誌的專欄作傢，著名公共廣播節目《Marketplace》的時事評論員，是《紐約時報》“魔鬼經濟學”博客的專欄作傢之一。

其著作《Insincere Promises: The Law of Misrepresented Intent》獲得瞭由美國藝術與科學學院頒發的Scribes圖書奬。他成就卓著、名聲斐然，曾受到《黃金時間實況》、《奧普拉脫口秀》、《早安美國》節目以及《時代周刊》《Vogue》等雜誌的采訪，可以說伊恩•艾瑞斯是那一代人裏成就最多、文章觀點被引用最多、名氣最大的法學教授。

圖書目錄

Super Crunchers pdf epub mobi txt 電子書下載

想要找書就要到小哈圖書下載中心

qciss.net

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用戶評價

評分☆☆☆☆☆

第一眼驚為天人然後蹭蹭蹭往下掉的那種如果期待值不高那還行

評分☆☆☆☆☆

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.

評分☆☆☆☆☆

有很多有趣的應用例子應該作為intro statistics的推薦閱讀

評分☆☆☆☆☆

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

評分☆☆☆☆☆

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.