KDnuggets Home » News :: 2013 :: Oct :: Publications :: Top KDnuggets tweets, Oct 9-10: 7 Steps for learning Data Mining and Data Science; 5 Data Science Deadly Sins ( 13:n25 )

Top KDnuggets tweets, Oct 9-10: 7 Steps for learning Data Mining and Data Science; 5 Data Science Deadly Sins


Gregory Piatetsky outlines 7 Steps for learning Data Mining and Data Science; 5 Data Science Deadly Sins: Cherry Picking, Confirmation Bias, Data Selection Bias ...; Great job for data scientist who loves to travel; New algorithm mines your Twitter stream, finds most significant events



Twitter Most popular KDnuggets tweets
(see twitter.com/kdnuggets ) for Oct 9-10 were

Most viewed:
Gregory Piatetsky outlines 7 Steps for learning Data Mining and Data Science bit.ly/1bh0qGt

Most Retweeted:
Great job for data scientist who loves to travel: join Lonely Planet and help them understand what travelers want! bit.ly/19AcrcI

Most Favorited:
5 Data Science Deadly Sins: Cherry Picking, Confirmation Bias, Data Selection Bias, Narrative Fallacy, Cognitive Bias shrd.by/25QJKG

Top 10 Tweets

  1. Gregory Piatetsky outlines 7 Steps for learning Data Mining and Data Science bit.ly/1bh0qGt
  2. 5 Data Science Deadly Sins: Cherry Picking, Confirmation Bias, Data Selection Bias, Narrative Fallacy, Cognitive Bias shrd.by/25QJKG
  3. Great job for data scientist who loves to travel: join Lonely Planet and help them understand what travelers want! bit.ly/19AcrcI
  4. New algorithm mines your Twitter stream, finds most significant events and assembles them into a life history bit.ly/19qr3cE
  5. 3 Free ebooks on Amazon examine #BigData disruptive possibilities, emerging architecture, tools, and trends bit.ly/1c1a94P
  6. My answer to Where should an undergraduate student who is interested in the field of data mining start? qr.ae/NiuKF
  7. Big Data has become so complex, we need new math to deal with it - can geometry help? bit.ly/1aqC1xd
  8. Top 10 KDnuggets tweets, Oct 7-8: Data Scientists need to be Polyglots; NaSent uses recursive deep learning bit.ly/1c0Y3sk
  9. Forget data scientist, become data naturalist: we can all be data analysts if information is presented "naturally" bit.ly/15VLFuD
  10. Iterative-Incremental Approach for Business Intelligence Implementation bit.ly/1cwYduy


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