KDnuggets Home » News :: 2013 :: Feb :: Tweets :: Top KDnuggets tweets, Feb 22-24: How much can you trust an Amazon Review? Stanford, Harvard professors dissect Big Data, MOOCs ( 13:n05 )

Top KDnuggets tweets, Feb 22-24: How much can you trust an Amazon Review? Stanford, Harvard professors dissect Big Data, MOOCs


How much can you trust an Amazon Review? Data mining and gaming the reviews; Stanford, Harvard professors dissect #BigData, MOOCs; On being a Data Scientist - How to analyze a Petabyte of data on a laptop; Top KDnuggets tweets, Feb 20-21: 10 R packages every data scientist should know



Twitter Most popular KDnuggets tweets
(see twitter.com/kdnuggets ) for Feb 22-24 were

Most viewed:
How much can you trust an Amazon Review? Data mining and gaming the reviews bit.ly/ZqVaKF

Most Retweeted:
Top KDnuggets tweets, Feb 20-21: 10 R packages every data scientist should know; Data Science vs Big Data bit.ly/12YjubI

Most Favorited:
How much can you trust an Amazon Review? Data mining and gaming the reviews bit.ly/ZqVaKF

Top 10 Tweets

  1. How much can you trust an Amazon Review? Data mining and gaming the reviews bit.ly/ZqVaKF
  2. Stanford, Harvard professors dissect #BigData, MOOCs: identify where learning analytics are missing bit.ly/13dKDXL
  3. On being a Data Scientist-- How to analyze a Petabyte of data on a laptop - The Samson Axiom and Benford's delight bit.ly/122hPT1
  4. Top KDnuggets tweets, Feb 20-21: 10 R packages every data scientist should know; Data Science vs Big Data bit.ly/12YjubI
  5. Nate Silver applies 538 election-style logic to Oscar predictions. Best movie prediction: Argo; nyti.ms/YraV11
  6. Machine Learning Summer School, Lisbon, Jul 24-31 - focus on Learning with Big Data. Muito Bom ! bit.ly/WYAhpR
  7. Seriously Cool - what it can look like when you wear Google Glasses bit.ly/13sgH68
  8. How #BigData can catch Oxycontin abusers: Fraud analytics vs Bad Docs bit.ly/12XcUlL
  9. MySQL vs MariaDB - a comparison of two leading open-source datatase systems - very useful bit.ly/VZNPVo
  10. Industry Analysts for Analytics, BI, Big Data, Data Mining, Data Science bit.ly/13thsvI


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