Top tweets, May 17-23: Beginner Guide To Understanding Convolutional Neural Networks; Big Data 2017: Top Influencers and Brands

#BigData 2017: Top Influencers and Brands; #ICYMI 10 Free Must-Read Books for #MachineLearning and #DataScience; Good Test for #DeepLearning #ImageRecognition? #Chihuahua or #Muffin Most popular @KDnuggets tweets for May 17-23 were

Most Retweeted:
A Beginner's Guide To Understanding Convolutional #NeuralNetworks Part 1 https://t.co/lakCBygARr https://t.co/RDhKr51Zzj




Most Favorited:
A Beginner's Guide To Understanding Convolutional #NeuralNetworks Part 1 https://t.co/lakCBygARr https://t.co/RDhKr51Zzj

Most Viewed:
#BigData 2017: Top Influencers and Brands https://t.co/XIDbTIYF2I https://t.co/ZIbScf63ht

Most Clicked:
Last Day To Vote: Software you used for #Analytics #DataMining #DataScience #MachineLearning projects? https://t.co/IbD1xRfe4G https://t.co/jTlZS30PQd

Top 10 most engaging Tweets
  1. #BigData 2017: Top Influencers and Brands https://t.co/XIDbTIYF2I https://t.co/ZIbScf63ht
  2. #ICYMI 10 Free Must-Read Books for #MachineLearning and #DataScience https://t.co/Mx4B8ftUni https://t.co/BKw38M4PPE
  3. Last Day To Vote: Software you used for #Analytics #DataMining #DataScience #MachineLearning projects? https://t.co/IbD1xRfe4G https://t.co/jTlZS30PQd
  4. Chihuahua or Muffin?
    Good Test for #DeepLearning #ImageRecognition? #Chihuahua or #Muffin HT @CBinsights https://t.co/9vH7xC8dvb https://t.co/oudGLsS54r
  5. 5 #MachineLearning Projects You Can No Longer Overlook - Part 3 https://t.co/ymJ8saRdav https://t.co/vlhE9W7U4E
  6. A Beginner's Guide To Understanding Convolutional #NeuralNetworks Part 1 https://t.co/lakCBygARr https://t.co/RDhKr51Zzj
  7. #MachineLearning Algorithms: A Concise Technical Overview https://t.co/OwsvW9wjDM https://t.co/y2UuqYfKf5
  8. Simplifying Decision Tree Interpretability with #Python & Scikit-learn #MachineLearning https://t.co/ZX6qCGx5QA https://t.co/CK30ePAeVA
  9. The coal miner who became a #data #miner https://t.co/W4lThEAOd6 #datamining #datascience https://t.co/d0fbJzyvqA
  10. Implementing Your Own k-Nearest Neighbour Algorithm Using #Python #MachineLearning https://t.co/IWTFIsAPBi https://t.co/uRF3yodJBf