Top Posts Jan 17-23: The High Paying Side Hustles for Data Scientists

Also: Is Data Science a Dying Career?; Top Programming Languages and Their Uses; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership; How to Process a DataFrame with Millions of Rows in Seconds



 

Most Popular Posts Last Week

 
  1. The High Paying Side Hustles for Data Scientists, by Abid Ali Awan
  2. Is Data Science a Dying Career?, by Natassha Selvaraj
  3. Top Programming Languages and Their Uses, by Claire D. Costa
  4. Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership, by Eric Siegel, Ph.D.
  5. How to Process a DataFrame with Millions of Rows in Seconds, by Roman Orac

Most Popular Tweets Last Week

 
  1. A Complete 20-Week Guide to Self-Learn #DataScience Fundamentals for Free
  2. #MachineLearning Cheat Sheets #KDnuggets
  3. 10 Fun #Linux Command-Line Programs You Should Try When Bored
  4. How to Train a BERT Model From Scratch #KDnuggets
  5. How to Deal with Categorical Data for #MachineLearning #KDnuggets

Most Popular Posts Past 30 Days

 
  1. Is Data Science a Dying Career?, by Natassha Selvaraj
  2. 3 Tools to Track and Visualize the Execution of Your Python Code, by Khuyen Tran
  3. Why Do Machine Learning Models Die In Silence?, by Thuwarakesh Murallie
  4. 6 Predictive Models Every Beginner Data Scientist Should Master, by Ivo Bernardo
  5. SQL Interview Questions for Experienced Professionals, by Nate Rosidi
  6. Why are More Developers Using Python for Their Machine Learning Projects?, by Nahla Davies
  7. Top Five SQL Window Functions You Should Know For Data Science Interviews, by Terence Shin
  8. What Makes Python An Ideal Programming Language For Startups, by Nikita Bajaj
  9. A Deep Look Into 13 Data Scientist Roles and Their Responsibilities, by Nate Rosidi
  10. Top Programming Languages and Their Uses, by Claire D. Costa