Top KDnuggets tweets, Jul 12-18: 10 Free #MustRead Books for #MachineLearning and #DataScience; Why #AI and Machine Learning?

Also top 32 Reasons #DataScience Projects and Teams Fail; Text Classifier Algorithms in #MachineLearning; The 4 Types of #Data #Analytics: Descriptive, Diagnostic ...


Most popular @KDnuggets tweets for Jul 12-18 were

Most Retweeted, Favorited, Viewed, Clicked:
Top KDnuggets tweets: 10 Free #MustRead Books for #MachineLearning and #DataScience; Why #AI and Machine Learning? https://t.co/rNCXKpe9GX https://t.co/313r8MbapW





Top 10 most engaging Tweets
  1. Top KDnuggets tweets: 10 Free #MustRead Books for #MachineLearning and #DataScience; Why #AI and Machine Learning? https://t.co/rNCXKpe9GX https://t.co/313r8MbapW
  2. Top 32 Reasons #DataScience Projects and Teams Fail https://t.co/cjLOtrPLgg https://t.co/P1J3CXScWP
  3. Text Classifier Algorithms in #MachineLearning - Stats and Bots https://t.co/taocWhje8B https://t.co/foz4pJX3N9
  4. The 4 Types of #Data #Analytics: Descriptive, Diagnostic, #Predictive, Prescriptive #DataScience https://t.co/nJPfVBSgqE https://t.co/P68fKTo6lV
  5. #MachineLearning Applied to #BigData, #Explained @mattmayo13 https://t.co/0tQsnv2doi https://t.co/f6DRDhAdoo
  6. #RoadLane Line Detection using #ComputerVision #DeepLearning #github https://t.co/O7PNJbTDTg https://t.co/vyuk6wMY4O
  7. Harvard CS109 #DataScience Course, Resources #Free and Online #KDN https://t.co/VBqNudsOfF
  8. Artificial Intuition - A Breakthrough Cognitive Paradigm https://t.co/lc0m3DcfHl #AI #DeepLearning #ArtificialIntelligence #NeuralNetworks https://t.co/dJOwvwcEWF
  9. #Stacking Made Easy: An Introduction to #StackNet by @Kaggle Competitions Grandmaster #MachineLearning https://t.co/I9MQwJ8rfk https://t.co/msoi4r9h62
  10. The future is scary: watching two #robots chat together on stage #AI #MachineLearning @techcruchbiz https://t.co/2zoYgAnujd https://t.co/im0Oi87bvs

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KDnuggets Home » News » 2017 » Jul » News, Features » Top KDnuggets tweets, Jul 12-18: 10 Free #MustRead Books for #MachineLearning and #DataScience; Why #AI and Machine Learning?

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