Top KDnuggets tweets, Jul 21-22
Microsoft: Data Scientist; Haskell Data Analysis Cookbook - A practical and concise guide; Large collection of papers on #Security and Machine Learning; Learn Data Science in 12 wks + career coaching.
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@KDnuggets tweets for Jul 21-22 were
Most viewed:
#BigData drives better decision making, says @TheEconomist Intelligence Unit t.co/J2GVZmDKWz
Most Retweeted:
Haskell Data Analysis Cookbook - A practical and concise guide, from data collection to visualization, with examples t.co/IGEMmVfNok
Most Favorited:
10 types of regressions. DataScienceCentral guide to which one to use t.co/zBnOhUwjhj
Most Clicked:
Microsoft: Data Scientist http://t.co/VA7Mx77rXa
Top 10 most engaging Tweets
Most viewed:
#BigData drives better decision making, says @TheEconomist Intelligence Unit t.co/J2GVZmDKWz
Most Retweeted:
Haskell Data Analysis Cookbook - A practical and concise guide, from data collection to visualization, with examples t.co/IGEMmVfNok
Most Favorited:
10 types of regressions. DataScienceCentral guide to which one to use t.co/zBnOhUwjhj
Most Clicked:
Microsoft: Data Scientist http://t.co/VA7Mx77rXa

Top 10 most engaging Tweets
- Microsoft: Data Scientist t.co/VA7Mx77rXa
- Haskell Data Analysis Cookbook - A practical and concise guide, from data collection to visualization, with examples t.co/IGEMmVfNok
- Excellent and very large collection of papers on #Security and #DataScience, #MachineLearning, #DataMining t.co/KhD3AyWkiW
- Learn Data Science in 12 wks with in-person instruction + career coaching + job placement support. Apply by Aug 11 t.co/LoAUPlFGzF
- Top KDnuggets tweets, Jul 18-20: Baby steps in Learning Python; 7 Steps for Learning Data Mining t.co/yAk8QFC32U
- How to analyze Google Plus posts using R language #rstats - step-by-step t.co/bgA98ndZ16
- Tutorial: Interactive Documents with R #rstats t.co/OPFqk2gopV
- Spotting Bad Data Visualizations t.co/o8A6ng9cd9
- 10 types of regressions. DataScienceCentral guide to which one to use t.co/zBnOhUwjhj
- #BigData drives better decision making, says @TheEconomist Intelligence Unit t.co/J2GVZmDKWz