Most popular @KDnuggets tweets for May 23 - 29 were:

Most Retweeted:
What is the Difference Between Deep Learning and “Regular” Machine Learning? https://t.co/Vx4038xU2h https://t.co/pEncVo8Ebu



Most Favorited:
10 More Free Must-Read Books for #MachineLearning and #DataScience https://t.co/Bwot1wDiY1 https://t.co/9zXPtbUVSK

Most Viewed:
10 More Free Must-Read Books for #MachineLearning and #DataScience https://t.co/Bwot1wDiY1 https://t.co/9zXPtbUVSK

Most Clicked:
10 More Free Must-Read Books for #MachineLearning and #DataScience https://t.co/Bwot1wDiY1 https://t.co/9zXPtbUVSK

Top 10 most engaging Tweets

1. 10 More Free Must-Read Books for #MachineLearning and #DataScience https://t.co/Bwot1wDiY1 https://t.co/9zXPtbUVSK
2. Top 20 R Libraries for Data Science in 2018 https://t.co/6Q2luKRvlm https://t.co/uinQWw29w7
3. What is the Difference Between Deep Learning and “Regular” Machine Learning? https://t.co/Vx4038xU2h https://t.co/pEncVo8Ebu
4. Understanding LSTM and its diagrams #NLProc https://t.co/UDvi9biM2h https://t.co/QnRkSJLxlc
5. Data Scientist vs Data Engineer https://t.co/9B9iOFKPnK via @DataCamp https://t.co/CYq0Gi2gcu
6. Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis https://t.co/KctYfhVUxe https://t.co/TNjN001EmD
7. Top 20 R Libraries for #DataScience in 2018 https://t.co/6Q2luKRvlm #rstats @activewizards https://t.co/1HWzKeL8HH
8. Frameworks for Approaching the Machine Learning Process https://t.co/MVrc2XdsAC https://t.co/vUV4RCfWQ1