向 Google 嗆聲 ！23 歲學生在 Raspberry Pi 上設計開源作業系統

Google 關閉閱讀器惹惱了不少人，但這個舉動讓加拿大一位 23 歲的大學生 Jacob Cook 進一步起身捍衛自己權利。

Source: http://techorange.com/2013/11/26/raspberry-pi-google/



November 27, 2013 at 09:00AM

Long commutes are making Americans more politically apathetic

Long commutes are a fact of life for many people — particularly here in the Washington area — and commuting brings with it an increased risk of many bad outcomes: obesity, divorce, insomnia, and on and on.

Source: http://www.washingtonpost.com/blogs/monkey-cage/wp/2013/11/19/long-commutes-are-making-americans-more-politically-apathetic



November 20, 2013 at 05:18AM

PaperShip 2.0 for Zotero

New iOS app brings Zotero libraries and PDF annotation to mobile devices. SEPTEMBER 2, 2013 Lyon, France.

Source: http://blog.shazino.com/articles/papership/papership-2-0-press-release/



November 01, 2013 at 10:43AM

Facebook 50 萬讚就結婚，按讚時代瞬間爆紅

這網路時代之中，在 Facebook 按讚已經是不少人每天例行公事，最近則是流行了一股按讚就做一件事的風潮，其中熱度最高的就是集滿 50 萬個讚結婚事件。此外，也有不少集到讚就做一些荒唐事的集氣文，網路前的你我也許都參

Source: http://www.techbang.com/posts/12921-facebook-500k



April 15, 2013 at 01:09PM

NetLogo in Science, Education, and Policy

On the screen, computer-generated ants scramble to find food to take back to the next. When they succeed, they leave a pheromone trail, helping other ants find their way to the food.

Source: http://www.nico.northwestern.edu/news/news-articles/2013/NetLogo%20in%20Science,%20Education,%20and%20Policy.html



October 17, 2013 at 11:32PM

Three terrible academic habits

There’s been a lot of criticism lately of badly written science, following the publication of Michael Billig’s Learn to Write Badly: How to Succeed in the Social Sciences in which Billig writes: "The author is not someone who is offering criticisms as an outsider looking in upon a strange world.

Source: http://bigthink.com/neurobonkers/how-a-few-small-changes-in-writing-style-can-make-scientific-work-clearer-and-more-meaningful



October 01, 2013 at 04:05AM

Who’s Not Online and Why

I found this article interesting:

As of May 2013, 15% of American adults ages 18 and older do not use the internet or email. Even among the 85% of adults who do go online, experiences connecting to the internet may vary widely.

微軟：數據科學家 會紅

news.chinatimes.com | Nov 30th -0001

　微軟全球資深副總裁兼亞太研發集團主席張亞勤昨（6）日在華人企業領袖高峰會時表示，雲端時代的殺手級應用是海量資料（Big Data），他表示，年輕人如果不知道該找什麼工作，不妨考慮投入資料分析、成為資料數據科學家，這將是未來相當具有潛力的工作。

　張亞勤表示，個人電腦時代的殺手級應用是Office文書處理軟體，在個人電腦為主要工作平台的時代，企業講求的是商業智慧分析（BI）需求，但現在是雲端時代，殺手級應用為海量資料分析。

　微軟針對雲端時代已經推出了公有雲Azure的服務，這個平台現在的運算能量，已經超過1999年微軟運算量的總和。而過去6估月內，該平台資料量已經是倍數成長，而近兩個月儲存量也成長了1倍。而Azure推出迄今僅3年。該平台也在不久前落地大陸。

　張亞勤預估，到了2015年時，雲端運算將在全球帶來1,400萬的工作機會，而其他大型企業也預估到了2014年時，約有5成的運算將是透過雲端運算的方式產生。而目前所有的數據，有9成是過去兩年中形成的。更值得一提的是，世界經濟論壇將海量資料視為新的資源及貨幣。可見未來雲端運算普及之後，海量資料將成為顯學。

　針對這個大趨勢，也會帶動及催生所謂的資料分析專家的需求，張亞勤表示，透過資料的分析及探勘，海量數據將可望產生意想不到的「價值」，這將是未來商機所在。

　由於近期全球均遭逢不景氣，昨日的華人企業領袖高峰會的與會者，也針對年輕人創業等議題提出建議，張亞勤認為，海量資料所帶動的資料分析及資料探勘科學家，將是極具有未來性的工作趨勢。

Original Page: http://news.chinatimes.com/tech/171706/122012110700414.html

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Best, 

Frank

R in the Press

by Pairach, r-bloggers.com
November 1st 2012
(This article was first published on Pairach Piboonrungroj » R, and kindly contributed to R-bloggers)

Here is the list of press reports and news about R

1. Bits (A bog under The New York Times)
   R you ready for R?
   by Ashlee Vance
   Published: January 8, 2009, 1:52 PM
2. The New York Times
   Data Analysts Captivated by R’s Power
   by Ashlee Vance
   Published: January 6, 2009
3.  InfoWorld
   The BI battle isn’t between IBM and SAS
   The little known open source project R may be the disruptor in this billion-dollar market
   By Zack Urlocker
   Published: December 2nd, 2009
4. TechCrunch
   Big Data Right Now: Five Trendy Open Source Technologies
   by Tim Gasper
   Published: Saturday, October 27th, 2012

Filed under: R To leave a comment for the author, please follow the link and comment on his blog: Pairach Piboonrungroj » R.

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R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series,ecdf, trading) and more...

The Popularity of Data Analysis Software

開放原始碼的R語言在資料分析上的知名度及使用率近年已經大幅增加。以下只截取報告中最重要的部份。全文請見：http://r4stats.com/articles/popularity/

 

Surveys of Use

One way to estimate the relative popularity of data analysis software is though a survey. Rexer Analytics does a survey each year asking about tools used for data mining. The difference between software for classical data analysis software and data mining seems like more of a marketing concept than one based on any actual difference in analytic need. Figure 3 shows the results of just one “check all that apply” type question about the tools that respondents reported using in 2009 (the survey was taken in 2010).

Figure 3. Data mining/analytic tools reported in use on Rexer Analytics survey during 2009.

We see that R comes out on top, followed by SAS and SPSS. The entire report contained over 40 questions on topics such as algorithms used, fields, challenges, data, impact of the economy on the field, and more. More comprehensive results are available here. It’s interesting to note that SPSS and SAS are used more often than their more expensive products aimed specifically at data mining, SPSS IBM Modeler (formerly Clementine) and SAS Enterprise Miner. This data is two years old now and due to be updated soon.

The results of a similar survey done by the data mining web site KDnuggets in 2012 are shown in Figure 4. This one shows R in first place with 30.7% of users reporting having used it for a real project. Excel is almost as popular. It seems out of place among so many more capable packages, but Excel is a tool that almost everyone has and knows how to use.

It’s interesting to note that four of the top five packages used were open source. While open source packages are clearly playing a major role in analytics, people still reported using more commercial software (1086) than open source (927).

 

Figure 4. Percent of KDnuggets survey respondents that reported using software for analytics, data mining or big data project for 12 months prior to May 2012.