KDnuggets Home » News » 2018 » Jan » Top Stories, Tweets » Top KDnuggets tweets, Jan 3-9: A collection of Jupyter notebooks NumPy, Pandas, matplotlib, basic #Python #MachineLearning ( 18:n03 )

Top KDnuggets tweets, Jan 3-9: A collection of Jupyter notebooks NumPy, Pandas, matplotlib, basic #Python #MachineLearning


Artificial General Intelligence (AGI) in less than 50 years; Top KDnuggets tweets: 10 Free Must-Read Books for #MachineLearning and #DataScience; The Art of Learning #DataScience; Supercharging Visualization with Apache Arrow; Docker for #DataScience



Most popular @KDnuggets tweets for Jan 03 - 09 were:

Most Retweeted, Favorited, Viewed & Clicked:
A collection of Jupyter notebooks NumPy, Pandas, matplotlib, basic #Python #MachineLearning https://t.co/3EqriJAtbo https://t.co/ei75LAQlQf

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Top 10 most engaging Tweets
  1. A collection of Jupyter notebooks NumPy, Pandas, matplotlib, basic #Python #MachineLearning https://t.co/3EqriJAtbo https://t.co/ei75LAQlQf
  2. Artificial General Intelligence (AGI) in less than 50 years, say KDnuggets readers https://t.co/X2CT5m1XCH #AI https://t.co/NCirYKcfQn
  3. Top KDnuggets tweets: 10 Free Must-Read Books for #MachineLearning and #DataScience https://t.co/XHqyxXe99U https://t.co/HWcinp3Y5e
  4. The Art of Learning #DataScience - a guide for beginners to what matters https://t.co/ZSaT4Twjd5 https://t.co/vLRRniUD83
  5. Supercharging Visualization with Apache Arrow https://t.co/4lvEPsBUZs https://t.co/qGzUhSfPey
  6. Docker for #DataScience https://t.co/LV02OsV3Da https://t.co/hx38Grk4P1
  7. #ICYMI The 10 Statistical Techniques #DataScientists Need to Master https://t.co/5g9s0muPi6 https://t.co/Kk6vNqB3qO
  8. Awesome Public Datasets on GitHub #KDN https://t.co/vK14yw8x92
  9. Top Stories, Dec 18-31: How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?; Computer Vision by Andrew Ng – 11 Lessons Learned https://t.co/6aCsaj0Hsc https://t.co/Dwb1zNspis
  10. 4 Must Have Skills Every #DataScientist Should Learn https://t.co/cIlGhOtme4 https://t.co/5wjLVbqeZx