Here are the most popular posts in KDnuggets in May, based on the number of unique page views (UPV), and social share counts from Facebook, Twitter, and Addthis.
Most Viewed - Gold Badges (>12,000 UPV)
5 Useful Statistics Data Scientists Need to Know , by George Seif
7 Steps to Mastering Intermediate Machine Learning with Python - 2019 Edition , by Matthew Mayo
Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS , by Bob Muenchen
If you're a developer transitioning into data science, here are your best resources , by Cecilia Shao
Most Viewed - Silver Badges (> 6,000 UPV)
How to choose a visualization , by Steven Franconeri
How to Learn Python for Data Science the Right Way , by Manu Jeevan
Understanding Cloud Data Services , by Charlie Crocker
Top 10 Statistics Mistakes Made by Data Scientists , by Norman Niemer (*)
PyViz: Simplifying the Data Visualisation Process in Python , by Parul Pandey (*)
Random Forest vs Neural Networks: Which is Better, and When? , by Piotr Plonski (*)
Spark NLP: Getting Started With The World's Most Widely Used NLP Library In The Enterprise , by David Talby
Math for Programmers . Manning (*)
The Infinity Stones of Data Science , by Matthew Mayo (*)
7 Steps to Mastering Data Preparation for Machine Learning with Python - 2019 Edition , by Matthew Mayo
Most Shared - Gold Badges (>600 shares)
Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS , by Bob Muenchen
5 Useful Statistics Data Scientists Need to Know , by George Seif
How to Learn Python for Data Science the Right Way , by Manu Jeevan (*)
7 Steps to Mastering Intermediate Machine Learning with Python - 2019 Edition , by Matthew Mayo
How to choose a visualization , by Steven Franconeri (*)
Most Shared - Silver Badges (>300 shares)
7 Steps to Mastering Data Preparation for Machine Learning with Python - 2019 Edition , by Matthew Mayo
Top 10 Statistics Mistakes Made by Data Scientists , by Norman Niemer
Random Forest vs Neural Networks: Which is Better, and When? , by Piotr Plonski
Jupyter Notebooks: Data Science Reporting , by Asel Mendis
NLP and Computer Vision Integrated , by Sciforce (*)
Understanding Cloud Data Services , by Charlie Crocker
The Machine Learning Puzzle, Explained , by Matthew Mayo
What you need to know: The Modern Open-Source Data Science/Machine Learning Ecosystem , by Gregory Piatetsky
(*) indicates that badge added or upgraded based on these monthly results.
Most Shareable (Viral) Blogs
Among the top blogs, here are the blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.
Ten random useful things in R that you might not know about , by Keith McNulty
How To Get Funding For AI Startups , by Alexandre Gonfalonieri
Jupyter Notebooks: Data Science Reporting , by Asel Mendis
NLP and Computer Vision , by Integrated Sciforce
Evolving Deep Neural Networks , by Luis Da Silva
7 Steps to Mastering Data Preparation for Machine Learning with Python - 2019 Edition , by Matthew Mayo