Here are the most popular posts in KDnuggets in February, 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)
- Data Scientists: Why are they so expensive to hire?, by Adam Carrigan
- Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms, by Gregory Piatetsky
- The Best and Worst Data Visualizations of 2018, by Dan Clark (*)
Most Viewed - Silver Badges (> 6,000 UPV)
- How to Setup a Python Environment for Machine Learning, by George Seif
- An Introduction to Scikit Learn: The Gold Standard of Python Machine Learning, by George Seif
- Python Data Science for Beginners, by Saurabh Hooda
- The Essential Data Science Venn Diagram, by Andrew Silver
Most Shared - Gold Badges (>600 shares)
- Artificial Neural Network Implementation using NumPy and Image Classification, by Ahmed Gad
- The Essential Data Science Venn Diagram, by Andrew Silver
Most Shared - Silver Badges (>300 shares)
- How to Setup a Python Environment for Machine Learning, by George Seif
- An Introduction to Scikit Learn: The Gold Standard of Python Machine Learning, by George Seif
- The Best and Worst Data Visualizations of 2018, by Dan Clark
- Data Scientists: Why are they so expensive to hire?, by Adam Carrigan
- Python Data Science for Beginners, by Saurabh Hooda
- Intuitive Visualization of Outlier Detection Methods, by Matthew Mayo
- Understanding Gradient Boosting Machines, by Harshdeep Singh (*)
- Running R and Python in Jupyter, by Asel Mendis
(*) 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.
- Deconstructing BERT: Distilling 6 Patterns from 100 Million Parameters, by Jesse Vig
- Running R and Python in Jupyter, by Asel Mendis
- Artificial Neural Network Implementation using NumPy and Image Classification, by Ahmed Gad
- Artificial Intelligence and Data Science Advances in 2018 and Trends for 2019, by Altexsoft
- Understanding Gradient Boosting Machines, by Harshdeep Singh
- Top 10 Data Science Use Cases in Telecom, by ActiveWizards
- 6 Books About Open Data Every Data Scientist Should Read, by Kayla Matthews