Most popular @KDnuggets tweets for May 10-16 were

Most Retweeted:
Which #machinelearning algorithm should I use? #cheatsheet https://t.co/ljwbNXVNV3 https://t.co/vzWAMXCFWR



Most Favorited:
Which #machinelearning algorithm should I use? #cheatsheet https://t.co/ljwbNXVNV3 https://t.co/vzWAMXCFWR

Most Viewed:
Which #machinelearning algorithm should I use? #cheatsheet https://t.co/ljwbNXVNV3 https://t.co/vzWAMXCFWR

Most Clicked:
Google Launches #DeepLearning with TensorFlow #MOOC #KDN https://t.co/voyhiAvUJB

Top 10 most engaging Tweets

1. Which #machinelearning algorithm should I use? #cheatsheet https://t.co/ljwbNXVNV3 https://t.co/vzWAMXCFWR
2. Google Launches #DeepLearning with TensorFlow #MOOC #KDN https://t.co/voyhiAvUJB
3. #HDFS vs. #HBase : All you need to know #BigData mini-tutorial #DataScience https://t.co/AZ1LK52t13 https://t.co/Hx4iLRxHsG
4. #ICYMI #MachineLearning overtaking #BigData? https://t.co/N4xmDa9fKz https://t.co/SaN90dZV25
5. #Data Version Control: iterative #MachineLearning @FullStackML https://t.co/H0pVlvyoci https://t.co/aS77jSUkuM
6. How to create text classifiers with #MachineLearning https://t.co/fgY35eFWka @monkeylearn #textmining https://t.co/xdr6I21KWA
7. Negative Results on Negative Images: Major Flaw in #DeepLearning? https://t.co/vOm0YLFc9G https://t.co/OkALznq6cF
8. An Overview of #Python #DeepLearning Frameworks https://t.co/auXJRhqRwy https://t.co/ugxTDOa0Sn
9. Linear Regression, Least Squares & Matrix Multiplication: A Concise Technical Overview https://t.co/0SA7475AcI #MachineLearning https://t.co/EfiHvwLVv8
10. Must-Know: What are common data quality issues for #BigData and how to handle them? https://t.co/IrtZW9Ppg8 https://t.co/1dbyghRrs7