For the month of November, we also recognize the most popular posts and blogger based on unique page views (UPV) and social shares.

Most Viewed - Platinum Badge
(>24,000 views)

1. The 10 Statistical Techniques Data Scientists Need to Master, by James Le (*)

 

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

2. Best Online Masters in Data Science and Analytics - a comprehensive, unbiased survey, by Gregory Piatetsky
3. Deep Learning Specialization by Andrew Ng - 21 Lessons Learned, by Ryan Shrott
4. Advice For New and Junior Data Scientists, by Robert Chang (*)
5. When Will Demand for Data Scientists/Machine Learning Experts Peak?, by Gregory Piatetsky (*)

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

6. A Day in the Life of a Data Scientist, by Matthew Mayo (*)
7. Top 10 Videos on Deep Learning in Python, by Reena Shaw (*)
8. Machine Learning Algorithms: Which One to Choose for Your Problem, by Daniil Korbut
9. Interpreting Machine Learning Models: An Overview, by Matthew Mayo
10. Did Spark Really Kill Hadoop?, by Julia Cook (*)

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Most Shared - Gold Badges (>1,200 shares)

1. Machine Learning Algorithms: Which One to Choose for Your Problem, by Daniil Korbut
2. Want to know how Deep Learning works? Here's a quick guide for everyone, by Radu Raicea (*)
3. Interpreting Machine Learning Models: An Overview, by Matthew Mayo
4. Deep Learning Specialization by Andrew Ng - 21 Lessons Learned, by Ryan Shrott

Most Shared - Silver Badges (>700 shares)

5. Top 10 Videos on Deep Learning in Python, by Reena Shaw
6. Advice For New and Junior Data Scientists, by Robert Chang
7. A Framework for Approaching Textual Data Science Tasks, by Matthew Mayo
8. When Will Demand for Data Scientists/Machine Learning Experts Peak?, by Gregory Piatetsky
9. Why You Should Forget "for-loop" for Data Science Code and Embrace Vectorization, by Tirthajyoti Sarkar
10. A Day in the Life of a Data Scientist, by Matthew Mayo
11. Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras, by Ahmed Besbes
12. Best Online Masters in Data Science and Analytics - a comprehensive, unbiased survey, by Gregory Piatetsky
13. Automated Feature Engineering for Time Series Data, by Michael Schmidt (*)

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

Most Shareable (Viral) Blogs

Among the top blogs, here are the 5 blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.

1. How (and Why) to Create a Good Validation Set, by Rachel Thomas
2. Estimating an Optimal Learning Rate For a Deep Neural Network, by Pavel Surmenok
3. PySpark SQL Cheat Sheet: Big Data in Python, by Karlijn Willems
4. Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras, by Ahmed Besbes
5. Blockchain Key Terms, Explained, by Reena Shaw