# 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

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**

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