Top Stories, May 17-23: Data Scientist, Data Engineer & Other Data Careers, Explained

Also: Vaex: Pandas but 1000x faster; A checklist to track your Data Science progress; How to Determine if Your Machine Learning Model is Overtrained; The Most In Demand Skills for Data Engineers in 2021



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  1. Data Scientist, Data Engineer & Other Data Careers, ExplainedData Scientist, Data Engineer & Other Data Careers, Explained, by Matthew Mayo
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  3. A checklist to track your Data Science progress, by Pascal Janetzky
  4. How to Determine if Your Machine Learning Model is Overtrained, by Charles Martin
  5. The Most In Demand Skills for Data Engineers in 2021, by Terence Shin

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  4. Awesome list of datasets in 100+ categories, by Etienne D. Noumen
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  1. Data Scientist, Data Engineer & Other Data Careers, Explained - KDnuggets
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  1. Data Scientist, Data Engineer & Other Data Careers, Explained, by Matthew Mayo
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  4. Data Preparation in SQL, with Cheat Sheet!, by Stan Pugsley
  5. Charticulator: Microsoft Research open-sourced a game-changing Data Visualization platform, by Josh Taylor

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  1. Data Scientist, Data Engineer & Other Data Careers, Explained, by Matthew Mayo
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  3. Data Scientist vs Machine Learning Engineer – what are their skills?, by Matthew Przybyla
  4. DeepMind Wants to Reimagine One of the Most Important Algorithms in Machine Learning, by Jesus Rodriguez
  5. How to Determine if Your Machine Learning Model is Overtrained, by Charles Martin