KDnuggets Home » News » 2019 » Oct » Top Stories, Tweets » Top September Stories: I wasn’t getting hired as a Data Scientist. So I sought data on who is. ( 19:n38 )

Top September Stories: I wasn’t getting hired as a Data Scientist. So I sought data on who is.


Also: 10 Great Python Resources for Aspiring Data Scientists; Python Libraries for Interpretable Machine Learning.



Here are the most popular posts in KDnuggets in September.

Platinum BlogMost Viewed - Platinum Badge (>24,000 UPV)

  1. I wasn't getting hired as a Data Scientist. So I sought data on who is., by Hanif Samad (*)
  2. 10 Great Python Resources for Aspiring Data Scientists, by Matthew Mayo (*)


Gold BlogMost Viewed - Gold Badge (>12,000 UPV)

  1. Which Data Science Skills are core and which are hot/emerging ones?, by Gregory Piatetsky
  2. Advice on building a machine learning career and reading research papers by Prof. Andrew Ng Mohamed, by Ali Habib (*)


Silver BlogMost Viewed - Silver Badgs (> 6,000 UPV)

  1. Python Libraries for Interpretable Machine Learning, by Rebecca Vickery
  2. TensorFlow vs PyTorch vs Keras for NLP, by Kevin Vu (*)
  3. The Future of Analytics and Data Science, by Kate Strachnyi
  4. There is No Free Lunch in Data Science, by Sydney Firmin (*)
  5. BERT is changing the NLP landscape, by Phillip Green (*)
  6. Train sklearn 100x Faster, by Evan Harris (*)
  7. My journey path from a Software Engineer to BI Specialist to a Data Scientist, by Pramod R (*)
  8. 6 bits of advice for Data Scientists, by Rahul Agarwal (*)
  9. Cartoon: Unsupervised Machine Learning?, by Gregory Piatetsky (*)







Silver BlogMost Shared - Gold Badge (>600 shares)

  1. Python Libraries for Interpretable Machine Learning, by Rebecca Vickery (*)
  2. 10 Great Python Resources for Aspiring Data Scientists, by Matthew Mayo


Silver BlogMost Shared - Silver Badge (>300 shares)

  1. I wasn't getting hired as a Data Scientist. So I sought data on who is., by Hanif Samad
  2. Which Data Science Skills are core and which are hot/emerging ones?, by Gregory Piatetsky
  3. TensorFlow vs PyTorch vs Keras for NLP, by Kevin Vu
  4. Advice on building a machine learning career and reading research papers by Prof. Andrew Ng Mohamed, by Ali Habib
  5. The 5 Graph Algorithms That Data Scientists Should Know, by Rahul Agarwal
  6. My journey path from a Software Engineer to BI Specialist to a Data Scientist, by Pramod R


(*) indicates that badge added or upgraded based on these monthly results.

Most Shareable (Viral) Blogs

Among the top blogs, here are the blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.
  1. Many Heads Are Better Than One: The Case For Ensemble Learning, by Jay Budzik
  2. 5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python, by Daniel Bourke
  3. Automated Machine Learning: Just How Much?, by Rosaria Silipo
  4. 12 Deep Learning Researchers and Leaders, by Matthew Dearing
  5. The 5 Graph Algorithms That Data Scientists Should Know, by Rahul Agarwal

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