Top KDnuggets tweets, Nov 16-22: Top 20 #Python #MachineLearning #OpenSource Projects; Shortcomings of #DeepLearning

Most popular @KDnuggets tweets for Nov 16-22 were:

Most Retweeted:
Top 20 #Python #MachineLearning #OpenSource Projects, updated - must know for Data Scientists #DataScience https://t.co/0pzSSY3HNY https://t.co/7lEUdp5Va9



Most Favorited:
Top 20 #Python #MachineLearning #OpenSource Projects, updated - must know for Data Scientists #DataScience https://t.co/0pzSSY3HNY https://t.co/7lEUdp5Va9

Most Viewed:
What is the Difference Between #DeepLearning and Regular #MachineLearning? #KDN https://t.co/9mUuagc0bz

Most Clicked:
Shortcomings of #DeepLearning by CEO of Allen #AI Oren @etzioni - you cannot play 20 Questions w. Nature & win! https://t.co/8ak3UTcKu5 https://t.co/0dZMlnW5W6

Top 10 most engaging Tweets

1. Top 20 #Python #MachineLearning #OpenSource Projects, updated - must know for Data Scientists #DataScience https://t.co/0pzSSY3HNY https://t.co/7lEUdp5Va9
2. Questions To Ask When Moving #MachineLearning From Practice to Production https://t.co/qxS846d2Qj https://t.co/U0dDOUVv4S
3. Shortcomings of #DeepLearning by CEO of Allen #AI Oren @etzioni - you cannot play 20 Questions w. Nature & win! https://t.co/8ak3UTcKu5 https://t.co/0dZMlnW5W6
4. How to Choose the Right #Database System: RDBMS vs. #NoSql vs. #NewSQL https://t.co/Jh3AKNicag https://t.co/QFbPzc1pjO
5. Peeking into the #neuralnetworks architecture used for Google's Neural Machine Translation https://t.co/PmlL0Skekj @Smerity https://t.co/VivDkUUzZ8
6. Combining Different Methods to Create Advanced Time Series Prediction https://t.co/Z0qnscNmUc https://t.co/11ryNqG7oh
7. #ICYMI 5 #MachineLearning EBooks https://t.co/M295vvQhxH https://t.co/ySzTXldHCF
8. Facebook Must Really Suck At #MachineLearning https://t.co/aEK3Lk3gBZ https://t.co/siVJWP3zKn
9. Quick demonstration of Bayesian linear regression #MachineLearning liviu-/notebooks https://t.co/STAynJcJgZ #Bayes https://t.co/eRkVnqo4y2
10. 7 #BigData tools to ditch in 2017 https://t.co/oOWvpxBZlS https://t.co/yda3jt1T31