Most Popular Last Week

1. Building a solid data team, by Romain Huet
2. 5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022, by Terence Shin
3. How to Get Certified as a Data Scientist, by Abid Ali Awan
4. A $9B AI Failure, Examined, by Gianluca Mauro
5. AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2021 and Key Trends for 2022, by Matthew Mayo

Most Popular Tweets Last Week

1. Nine Tools I Wish I Mastered Before My PhD in #MachineLearning #KDN
2. 38 #Free Courses on Coursera for #DataScience #KDN
3. At what age tech careers end? Reflections of a 50-year-old data scientist
4. 10 Best #MachineLearning Textbooks that All #DataScientists Should Read #KDN
5. Are You Still Using Pandas to Process #BigData in 2021? Here are two better options #KDN

Most Popular Past 30 Days

1. Why Machine Learning Engineers are Replacing Data Scientists, by Arthur Mello
2. 19 Data Science Project Ideas for Beginners, by Zulie Rane
3. Building a solid data team, by Romain Huet
4. How to Get Certified as a Data Scientist, by Abid Ali Awan
5. 5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022, by Terence Shin
6. Most Common SQL Mistakes on Data Science Interviews, by Nate Rosidi
7. Don’t Waste Time Building Your Data Science Network, by Kurtis Pykes
8. How I Redesigned over 100 ETL into ELT Data Pipelines, by Nicholas Leong
9. A $9B AI Failure, Examined, by Gianluca Mauro
10. Where NLP is heading, by Paul Barba