Prime February Tales: The Dying of Information Scientists – will AutoML substitute them?

Listed here are the most well-liked posts in KDnuggets in February.

Platinum BlogMost Considered – 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 The Death of Data Scientists – will AutoML replace them?

Gold BlogMost Considered – 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 The Death of Data Scientists – will AutoML replace them?

Silver BlogMost Considered – Silver Badgs (> 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 Nagesh, by 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 The Death of Data Scientists – will AutoML replace them?
  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 The Death of Data Scientists – will AutoML replace them?
  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

The Death of Data Scientists – will AutoML replace them? signifies that badge added or upgraded based mostly on these month-to-month outcomes.

Most Shareable (Viral) Blogs

Among the many high blogs, listed below are the blogs with the best ratio of shares/distinctive views, which means that individuals who learn it actually appreciated 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

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