Top Stories, May 10-16: Essential Linear Algebra for Data Science and Machine Learning

Most Popular Last Week

1. Essential Linear Algebra for Data Science and Machine Learning, by Benjamin Obi Tayo
2. Data Preparation in SQL, with Cheat Sheet!, by Stan Pugsley
3. Best Python Books for Beginners and Advanced Programmers, by Claire D. Costa
4. Similarity Metrics in NLP, by James Briggs
5. The NoSQL Know-It-All Compendium, by Alex Williams

Most Shared Last Week

1. Essential Linear Algebra for Data Science and Machine Learning, by Benjamin Obi Tayo
2. DeepMind Wants to Reimagine One of the Most Important Algorithms in Machine Learning, by Jesus Rodriguez
3. Must-have Chrome Extensions For Machine Learning Engineers And Data Scientists, by Himanshu Ragtah
4. The NoSQL Know-It-All Compendium, by Alex Williams
5. The Explainable Boosting Machine, by Dr. Robert Kübler

Most Popular Tweets Last Week

1. 5 Data Science Open-source Projects You Can Contribute To for Boosting Your Resume #DataScience #opensource
2. Increase your data science and machine learning productivity with these Chrome extensions.
3. Best #Python Books for Beginners and Advanced Programmers - KDnuggets
4. Kedro: The Best #Python Framework for #DataScience
5. DeepMind Wants to Reimagine One of the Most Important Algorithms in #MachineLearning - KDnuggets

Most Popular Past 30 Days

1. Data Science Books You Should Start Reading in 2021, by Przemek Chojecki
2. How to organize your data science project in 2021, by Benjamin Obi Tayo
3. Data Preparation in SQL, with Cheat Sheet!, by Stan Pugsley
4. Charticulator: Microsoft Research open-sourced a game-changing Data Visualization platform, by Josh Taylor
5. Data Scientist vs Machine Learning Engineer – what are their skills?, by Matthew Przybyla

Most Shared Past 30 Days

1. Data Science Books You Should Start Reading in 2021, by Przemek Chojecki
2. How to organize your data science project in 2021, by Benjamin Obi Tayo
3. Data Scientist vs Machine Learning Engineer – what are their skills?, by Matthew Przybyla
4. Essential Linear Algebra for Data Science and Machine Learning, by Benjamin Obi Tayo
5. Top 10 Must-Know Machine Learning Algorithms for Data Scientists – Part 1, by Matthew Mayo