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

Most Popular Last Week

1. Data Scientist, Data Engineer & Other Data Careers, Explained, by Matthew Mayo
2. Vaex: Pandas but 1000x faster, by Ahmad Anis
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

Most Shared Last Week

1. Data Scientist, Data Engineer & Other Data Careers, Explained, by Matthew Mayo
2. How to Determine if Your Machine Learning Model is Overtrained, by Charles Martin
3. Vaex: Pandas but 1000x faster, by Ahmad Anis
4. Awesome list of datasets in 100+ categories, by Etienne D. Noumen
5. Binary Classification with Automated Machine Learning, by Derrick Mwiti

Most Popular Tweets Last Week

1. Data Scientist, Data Engineer & Other Data Careers, Explained - KDnuggets
2. 24 Best (and #Free) #Books To Understand #MachineLearning - KDnuggets #KDN
3. Why Graph Theory is Cooler Than you Thought: #Graphtheory in #MachineLearning, and how it’s changed the game
4. The Top 6 Data Science Courses to take on @Kaggle #DataScience
5. Find your path toward expertise in data science.

Most Popular Past 30 Days

1. Data Scientist, Data Engineer & Other Data Careers, Explained, by Matthew Mayo
2. Vaex: Pandas but 1000x faster, by Ahmad Anis
3. Data Science Books You Should Start Reading in 2021, by Przemek Chojecki
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

Most Shared Past 30 Days

1. Data Scientist, Data Engineer & Other Data Careers, Explained, by Matthew Mayo
2. Essential Linear Algebra for Data Science and Machine Learning, by Benjamin Obi Tayo
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