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KDnuggets Home » News » 2014 » Apr » Top Tweets » Top KDnuggets tweets, Mar 31 – Apr 1: Experfy marketplace for Data Science projects; Event Recommendation in Python ( 14:n08 )

Top KDnuggets tweets, Mar 31 – Apr 1: Experfy marketplace for Data Science projects; Event Recommendation in Python


Experfy launches a marketplace for #DataScience projects; Machine Learning Project: Event Recommendation in Python ; Anyone can see your email address on LinkedIn with this Chrome extension; 5 reasons to use R: free, popularity, power, flexibility, support.



Most popular @KDnuggets tweets for Mar 31 - Apr 1 were


Most viewed:
Cerner: Data Scientist bit.ly/1s5bzE5

Most Retweeted:
5 reasons to use R #rstats: free, crazy popularity, awesome power, dazzling flexibility, and mind-blowing support buff.ly/1lA1QnL

Most Favorited:
Experfy Experfy, a Harvard-backed startup, launches a marketplace for #DataScience projects, wants top #analytics talent buff.ly/1ojh6aB



Top 10 Tweets
  1. Experfy, a Harvard-backed startup, launches a marketplace for #DataScience projects, wants top #analytics talent buff.ly/1ojh6aB
  2. Machine Learning Project Spotlight: Event Recommendation in #Python buff.ly/1dIDkyG
  3. If you use LinkedIn, anyone can see your email address with this Chrome extension buff.ly/1iTrel2
  4. 5 reasons to use R #rstats: free, crazy popularity, awesome power, dazzling flexibility, and mind-blowing support buff.ly/1lA1QnL
  5. 11 Analytics and Data Science Salary Surveys, including KDnuggets, @analyticbridge, O'Reilly, Burtch, Infoworld buff.ly/1ojinyH
  6. Apache Mahout #MachineLearning project moves beyond MapReduce, will support Apache Spark, H20 data engine #BigData buff.ly/1hZyNU0
  7. Experfy, a Harvard-Backed startup wants to create a "McKinsey" in the Cloud for #BigData Talent #BigDataCo buff.ly/1hZBS6l
  8. Cerner: Data Scientist bit.ly/1s5bzE5
  9. Cloudera gets huge $740M investment from Intel, will optimize #Hadoop for Intel chips #BigDataCo buff.ly/1ojj22T
  10. Statistical significance != Clinical significance: here is why (important read for all who work with medical data) buff.ly/1dIBVbb

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