andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-118 knowledge-graph by maker-knowledge-mining

118 andrew gelman stats-2010-06-30-Question & Answer Communities


meta infos for this blog

Source: html

Introduction: StackOverflow has been a popular community where software developers would help one another. Recently they raised some VC funding , and to make profits they are selling job postings and expanding the model to other areas. Metaoptimize LLC has started a similar website, using the open-source OSQA framework for such as statistics and machine learning. Here’s a description: You and other data geeks can ask and answer questions on machine learning, natural language processing, artificial intelligence, text analysis, information retrieval, search, data mining, statistical modeling, and data visualization. Here you can ask and answer questions, comment and vote for the questions of others and their answers. Both questions and answers can be revised and improved. Questions can be tagged with the relevant keywords to simplify future access and organize the accumulated material. If you work very hard on your questions and answers, you will receive badges like “Guru”, “Studen


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 StackOverflow has been a popular community where software developers would help one another. [sent-1, score-0.223]

2 Recently they raised some VC funding , and to make profits they are selling job postings and expanding the model to other areas. [sent-2, score-0.49]

3 Metaoptimize LLC has started a similar website, using the open-source OSQA framework for such as statistics and machine learning. [sent-3, score-0.138]

4 Here’s a description: You and other data geeks can ask and answer questions on machine learning, natural language processing, artificial intelligence, text analysis, information retrieval, search, data mining, statistical modeling, and data visualization. [sent-4, score-0.94]

5 Here you can ask and answer questions, comment and vote for the questions of others and their answers. [sent-5, score-0.479]

6 Both questions and answers can be revised and improved. [sent-6, score-0.481]

7 Questions can be tagged with the relevant keywords to simplify future access and organize the accumulated material. [sent-7, score-0.583]

8 If you work very hard on your questions and answers, you will receive badges like “Guru”, “Student” or “Good answer”. [sent-8, score-0.388]

9 In return, well-meaning question answerers will be helping feed Google and numerous other companies with good information they will offer the public along with sponsored information that someone is paying for. [sent-10, score-0.582]

10 I’ll join the party myself when they introduce the “Rent,” “Mortgage Payment,” “Medical Bill”, and “Grocery” badges. [sent-11, score-0.165]

11 Until then, I’ll be spending time and money, and someone else will be saving time and earning money. [sent-12, score-0.199]

12 [9:15pm: Included Ryan Shaw's correction to my post, pointing out that MetaOptimize is based on OSQA and not on the StackOverflow platform. [sent-14, score-0.082]

13 ] [D+1, 7:30am: Igor Carron points to an initiative that's actually based on the StackOverflow. [sent-15, score-0.098]


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Introduction: StackOverflow has been a popular community where software developers would help one another. Recently they raised some VC funding , and to make profits they are selling job postings and expanding the model to other areas. Metaoptimize LLC has started a similar website, using the open-source OSQA framework for such as statistics and machine learning. Here’s a description: You and other data geeks can ask and answer questions on machine learning, natural language processing, artificial intelligence, text analysis, information retrieval, search, data mining, statistical modeling, and data visualization. Here you can ask and answer questions, comment and vote for the questions of others and their answers. Both questions and answers can be revised and improved. Questions can be tagged with the relevant keywords to simplify future access and organize the accumulated material. If you work very hard on your questions and answers, you will receive badges like “Guru”, “Studen

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3 0.11476108 1311 andrew gelman stats-2012-05-10-My final exam for Design and Analysis of Sample Surveys

Introduction: We had 28 class periods, so I wrote an exam with an approximate correspondence of one question per class. Rather than dumping the exam in your lap all at once, I’ll post the questions once per day. Then each day I’ll post the answer to yesterday’s questions. So it will be 29 days in all. I’ll post them to appear late in the day so as not to interfere with our main daily posts (which are currently backed up to early June). The course was offered in the political science department and covered a mix of statistical and political topics. Followers of our recent discussion on test questions won’t be surprised to learn that some of the questions are ambiguous. This wasn’t on purpose. I tried my best, but good questions are hard to write. Question 1 will appear tomorrow.

4 0.098929152 505 andrew gelman stats-2011-01-05-Wacky interview questions: An exploration into the nature of evidence on the internet

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Introduction: Following up on our previous post , Andrew Wilson writes: I agree we are in a really exciting time for statistics and machine learning. There has been a lot of talk lately comparing machine learning with statistics. I am curious whether you think there are many fundamental differences between the fields, or just superficial differences — different popular approximate inference methods, slightly different popular application areas, etc. Is machine learning a subset of statistics? In the paper we discuss how we think machine learning is fundamentally about pattern discovery, and ultimately, fully automating the learning and decision making process. In other words, whatever a human does when he or she uses tools to analyze data, can be written down algorithmically and automated on a computer. I am not sure if the ambitions are similar in statistics — and I don’t have any conventional statistics background, which makes it harder to tell. I think it’s an interesting discussion.

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