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, a Harvard-backed startup, launches a marketplace for #DataScience projects, wants top #analytics talent buff.ly/1ojh6aB
Top 10 Tweets
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:

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