數據科學博文

1.數據科學家首先應該做的事

First steps in data science: author-aware sentiment analysis

2. Meteor.js – 敏捷創業(Lean Startup)的最佳搭檔

http://www.manuel-schoebel.com/blog/meteorjs-the-perfect-match-for-lean-startups

3. 看到新奇技術躍躍欲試？「無趣」的技術往往更可靠

Dan McKinley :: Choose Boring Technology

4. 怎樣才能持續聘到優秀的數據人才？

How to Consistently Hire Remarkable Data Scientists

5.打造數據驅動的組織：第二年

p-value.info: Creating a Data-Driven Organization: Two Years On

6. 創業=成長

https://lnkd.in/d3reK4H

7. 如何通過編程馬拉松活動打造公司文化

Hacking Company Culture

8. 怎樣在初創公司里搭建穩定、可訪問的數據基礎架構

https://eng.asana.com/2014/11/stable-accessible-data-infrastructure-startup/

9. 友善

Be Kind

10. Apache Hadoop准實時數據處理的架構模式

Architectural Patterns for Near Real-Time Data Processing with Apache Hadoop

11. 如何從Google工程師到創業CTO

How to Go From Google Engineer to First-Time CTO

12. 如何建立扁平化組織

An Inside Look at a Flat Organization That Serves Millions

13. 數據是你的生命線，請待她如待初戀

Your Data Is Your Lifeblood

14. 走進谷歌大腦建立者的思維：生活、創新和失敗

Inside The Mind That Built Google Brain: On Life, Creativity, And Failure

15. 十億美元估值公司的創始團隊有何相似之處？

What Do the Founding Teams of Billion Dollar Companies Look Like?

16. Pinot 架構分析

Architecture · linkedin/pinot Wiki · GitHub

17. 內幕追擊之SurveyMonkey如何打入國際市場

The Inside Story on How SurveyMonkey Cracked the International Market

18. 關於優化，Optimizely剛剛發表了它的第一篇產業基準報告

https://blog.optimizely.com/2015/06/15/optimization-benchmark-report/

19. 怎樣才能成為前1%的土豪？

Answer to How can one become part of the 1%?

編輯排版推薦： 秀米 XIUMI