KDnuggets Home » News » 2017 » Mar » News, Features » Top KDnuggets tweets, Mar 22-28: Big #DataScience: Expectation vs. Reality ( 17:n13 )

Top KDnuggets tweets, Mar 22-28: Big #DataScience: Expectation vs. Reality


 
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Also A Gentle Introduction To Graph Theory; An Overview of #Python #DeepLearning Frameworks; The Great Algorithm Tutorial Roundup.


Most popular @KDnuggets tweets for Mar 22-28 were

Most Retweeted:
Big #DataScience: Expectation vs. Reality https://t.co/SPSAwtPL1C #BigData https://t.co/Ug2eGJEwol



Most Favorited:
Big #DataScience: Expectation vs. Reality https://t.co/SPSAwtPL1C #BigData https://t.co/Ug2eGJEwol

Most Viewed:
Big #DataScience: Expectation vs. Reality https://t.co/SPSAwtPL1C #BigData https://t.co/Ug2eGJEwol

Most Clicked:
Jupyter Notebook Best Practices for #DataScience https://t.co/n0Cx6J8we7 https://t.co/jUwLOcyaKl

Top 10 most engaging Tweets
  1. Big #DataScience: Expectation vs. Reality https://t.co/SPSAwtPL1C #BigData https://t.co/Ug2eGJEwol
  2. A Gentle Introduction To Graph Theory https://t.co/XDn0ddz5HK https://t.co/wSmk1Lk1d8
  3. #ICYMI An Overview of #Python #DeepLearning Frameworks https://t.co/qgiMqSuSCM https://t.co/WfALnIHmL0
  4. The Great Algorithm Tutorial Roundup https://t.co/0EbwhaI6NK https://t.co/zMU3rQF2lU
  5. #MachineLearning Algorithms: A Concise Technical Overview https://t.co/NXv7onzTcI https://t.co/9n1WaIzRvg
  6. How Bayesian Inference Works https://t.co/ly9je2WNRA @_brohrer_ https://t.co/zHjlIoeEzM
  7. Jupyter Notebook Best Practices for #DataScience https://t.co/n0Cx6J8we7 https://t.co/jUwLOcyaKl
  8. #Python #MachineLearning Tutorial, Scikit-Learn: Wine Snob Edition https://t.co/GjLN8jykEm https://t.co/vncnThP3Eh
  9. The Human #DataScientist: Safeguarding Your Career in the World of Automation https://t.co/NzYbvv7GEd #DataScience #AI https://t.co/4OnXR0iTfX
  10. What Is #DataScience, and What Does a #DataScientist Do? https://t.co/wh8QW6py6D https://t.co/Df0kvzAzL5



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KDnuggets Home » News » 2017 » Mar » News, Features » Top KDnuggets tweets, Mar 22-28: Big #DataScience: Expectation vs. Reality ( 17:n13 )

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