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)
- The 10 Statistical Techniques Data Scientists Need to Master, by James Le (*)
Most Viewed - Gold Badges (>12,000 UPV)
- Best Online Masters in Data Science and Analytics - a comprehensive, unbiased survey, by Gregory Piatetsky
- Deep Learning Specialization by Andrew Ng - 21 Lessons Learned, by Ryan Shrott
- Advice For New and Junior Data Scientists, by Robert Chang (*)
- When Will Demand for Data Scientists/Machine Learning Experts Peak?, by Gregory Piatetsky (*)
Most Viewed - Silver Badges (> 6,000 UPV)
- A Day in the Life of a Data Scientist, by Matthew Mayo (*)
- Top 10 Videos on Deep Learning in Python, by Reena Shaw (*)
- Machine Learning Algorithms: Which One to Choose for Your Problem, by Daniil Korbut
- Interpreting Machine Learning Models: An Overview, by Matthew Mayo
- Did Spark Really Kill Hadoop?, by Julia Cook (*)
Most Shared - Gold Badges (>1,200 shares)
- Machine Learning Algorithms: Which One to Choose for Your Problem, by Daniil Korbut
- Want to know how Deep Learning works? Here's a quick guide for everyone, by Radu Raicea (*)
- Interpreting Machine Learning Models: An Overview, by Matthew Mayo
- Deep Learning Specialization by Andrew Ng - 21 Lessons Learned, by Ryan Shrott
Most Shared - Silver Badges (>700 shares)
- Top 10 Videos on Deep Learning in Python, by Reena Shaw
- Advice For New and Junior Data Scientists, by Robert Chang
- A Framework for Approaching Textual Data Science Tasks, by Matthew Mayo
- When Will Demand for Data Scientists/Machine Learning Experts Peak?, by Gregory Piatetsky
- Why You Should Forget "for-loop" for Data Science Code and Embrace Vectorization, by Tirthajyoti Sarkar
- A Day in the Life of a Data Scientist, by Matthew Mayo
- Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras, by Ahmed Besbes
- Best Online Masters in Data Science and Analytics - a comprehensive, unbiased survey, by Gregory Piatetsky
- 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.
- How (and Why) to Create a Good Validation Set, by Rachel Thomas
- Estimating an Optimal Learning Rate For a Deep Neural Network, by Pavel Surmenok
- PySpark SQL Cheat Sheet: Big Data in Python, by Karlijn Willems
- Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras, by Ahmed Besbes
- Blockchain Key Terms, Explained, by Reena Shaw