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 - Platinum Badge (>24,000 UPV)

1. Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis, by Gregory Piatetsky (*)
2. Data Science vs Machine Learning vs Data Analytics vs Business Analytics, by Iliya Valchanov (*)

 

Most Viewed - Gold Badges (>12,000 UPV)

3. Boost your data science skills. Learn linear algebra., by Hadrien Jean
4. 10 More Free Must-Read Books for Machine Learning and Data Science, by Matthew Mayo
5. 8 Useful Advices for Aspiring Data Scientists, by James Le
6. WTF is a Tensor?!?, by Matthew Mayo (*)

Most Viewed - Silver Badges (> 6,000 UPV)

7. 2018 KDnuggets Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?, by Gregory Piatetsky
8. A Beginner's Guide to the Data Science Pipeline, by Randy Lao
9. Apache Spark : Python vs. Scala, by Preet Gandhi (*)

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Most Shared - Platinum Badge (>1,200 shares)

1. Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis, by Gregory Piatetsky
2. Data Science vs Machine Learning vs Data Analytics vs Business Analytics, by Iliya Valchanov

Most Shared - Gold Badges (>600 shares)

3. 2018 KDnuggets Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?, by Gregory Piatetsky
4. 10 More Free Must-Read Books for Machine Learning and Data Science, by Matthew Mayo
5. Boost your data science skills. Learn linear algebra., by Hadrien Jean

Most Shared - Silver Badges (>350 shares)

6. Top 20 R Libraries for Data Science in 2018, by ActiveWizards (*)
7. WTF is a Tensor?!?, by Matthew Mayo
8. Frameworks for Approaching the Machine Learning Process, by Matthew Mayo (*)
9. PyTorch Tensor Basics, by Matthew Mayo (*)
10. 50+ Useful Machine Learning & Prediction APIs, 2018 Edition, by Pedro Lopez
11. A Beginner's Guide to the Data Science Pipeline, by Randy Lao
12. Apache Spark: Python vs. Scala, by Preet Gandhi
13. 5 Reasons Logistic Regression should be the first thing you learn when becoming a Data Scientist, by Dima Shulga (*)
14. ETL vs ELT: Considering the Advancement of Data Warehouses, by Artyom Keydunov

(*) indicates that badge was added or upgraded based on these monthly results.

Most Shareable (Viral) Blogs

Among the top blogs, here are the 6 blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.

1. Top 20 R Libraries for Data Science in 2018, by ActiveWizards
2. An Introduction to Deep Learning for Tabular Data, by Rachel Thomas
3. PyTorch Tensor Basics, by Matthew Mayo
4. Frameworks for Approaching the Machine Learning Process, by Matthew Mayo
5. ETL vs ELT: Considering the Advancement of Data Warehouses, by Artyom Keydunov
6. Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API, by Ahmed Gad