Top February Stories: The Death of Data Scientists – will AutoML replace them?

Also: Learning from 3 big Data Science career mistakes; Leaders, Changes, and Trends in Gartner 2020 MQ Data Science and Machine Learning Platforms; Why Did I Reject a Data Scientist Job; Free Mathematics Courses for Data Science & Machine Learning.



Here are the most popular posts in KDnuggets in February.

Platinum BlogMost Viewed - Platinum Badge (>20,000 UPV)

  1. The Death of Data Scientists - will AutoML replace them?, by Joseph Chin, Aifaz Gowani, Gabriel James, and Matthew Peng (*)


Gold BlogMost Viewed - Gold Badge (>10,000 UPV)

  1. Learning from 3 big Data Science career mistakes, by Lispy Arnuld
  2. Why Did I Reject a Data Scientist Job?, by Admond Lee
  3. Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms, by Gregory Piatetsky (*)


Silver BlogMost Viewed - Silver Badge (> 5,000 UPV)

  1. 12-Hour Machine Learning Challenge: Build & deploy an app with Streamlit and DevOps tools, by Ian Xiao
  2. Fourier Transformation for a Data Scientist, by Nagesh Singh Chauhan
  3. Free Mathematics Courses for Data Science & Machine Learning, by Matthew Mayo
  4. Python and R Courses for Data Science, by Asel Mendis (*)
  5. 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1), by Matthew Mayo
  6. Math for Programmers - your guide for solving math problems in code, by Manning Publications
  7. The Data Science Puzzle - 2020 Edition, by Matthew Mayo







Platinum BlogMost Shared - Platinum Badge (>1,000 shares)

  1. The Death of Data Scientists - will AutoML replace them?, by Joseph Chin, Aifaz Gowani, Gabriel James, and Matthew Peng


Gold BlogMost Shared - Gold Badge (>500 shares)

  1. Free Mathematics Courses for Data Science & Machine Learning, by Matthew Mayo
  2. Fourier Transformation for a Data Scientist, by Nagesh Singh Chauhan


Silver BlogMost Shared - Silver Badge (>300 shares)

  1. 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1), by Matthew Mayo
  2. Probability Distributions in Data Science, by Pier Paolo Ippolito
  3. The Big Bad NLP Database: Access Nearly 300 Datasets, by Matthew Mayo (*)
  4. Learning from 3 big Data Science career mistakes, by Lispy Arnuld
  5. The Data Science Puzzle - 2020 Edition, by Matthew Mayo
  6. Python and R Courses for Data Science, by Asel Mendis


(*) 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. The Big Bad NLP Database: Access Nearly 300 Datasets, by Matthew Mayo
  2. Audio Data Analysis Using Deep Learning with Python (Part 1), by Nagesh Singh Chauhan
  3. Probability Distributions in Data Science, by Pier Paolo Ippolito
  4. What Does it Mean to Deploy a Machine Learning Model?, by Luigi Patruno
  5. Top 5 Data Science Trends for 2020, by Prateek Shah
  6. Free Mathematics Courses for Data Science & Machine Learning, by Matthew Mayo