For the month of October, 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)
- Top 10 Machine Learning Algorithms for Beginners, by Reena Shaw (*)
Most Viewed - Gold Badges (>12,000 UPV)
- Understanding Machine Learning Algorithms, by Brett Wujek
- Want to Become a Data Scientist? Read This Interview First, by Kevin Gray
Most Viewed - Silver Badges (> 6,000 UPV)
- 7 Types of Artificial Neural Networks for Natural Language Processing, by Olga Davydova
- Deep Learning for Object Detection: A Comprehensive Review, by Joyce Xu (*)
- How I started with learning AI in the last 2 months, by Shival Gupta (*)
- Learning git is not enough: becoming a data scientist after a science PhD, by Mike Lee Williams (*)
- XGBoost, a Top Machine Learning Method on Kaggle, Explained, by Ilan Reinstein
- AlphaGo Zero: The Most Significant Research Advance in AI, by Gregory Piatetsky (*)
- 6 Books Every Data Scientist Should Keep Nearby, by Kayla Matthews
- Using Machine Learning to Predict and Explain Employee Attrition, by Matt Dancho (*)
- 7 Steps to Mastering Deep Learning with Keras, by Matthew Mayo
Most Shared - Platinum Badge
(>2,400 shares)
- Top 10 Machine Learning Algorithms for Beginners, by Reena Shaw
Most Shared - Gold Badges (>1,200 shares)
- Understanding Machine Learning Algorithms, by Brett Wujek
- 6 Books Every Data Scientist Should Keep Nearby, by Kayla Matthews
- Want to Become a Data Scientist? Read This Interview First, by Kevin Gray
Most Shared - Silver Badges (>700 shares)
- Ranking Popular Deep Learning Libraries for Data Science, by Rachel Allen and Michael Li
- 7 Types of Artificial Neural Networks for Natural Language Processing, by Olga Davydova
- Using Machine Learning to Predict and Explain Employee Attrition, by Matt Dancho
- AlphaGo Zero: The Most Significant Research Advance in AI, by Gregory Piatetsky
- XGBoost: A Concise Technical Overview, by Reena Shaw (*)
- An Overview of 3 Popular Courses on Deep Learning, by Vishnu Subramanian.
- XGBoost, a Top Machine Learning Method on Kaggle, Explained, by Ilan Reinstein
- TensorFlow: Building Feed-Forward Neural Networks Step-by-Step, by Ahmed Gad
- Deep Learning for Object Detection: A Comprehensive Review, by Joyce Xu
- Random Forests(r), Explained, by Ilan Reinstein (*)
- How LinkedIn Makes Personalized Recommendations via Photon-ML Machine Learning tool, by Yiming Ma, Bee-Chung Chen, and Deepak Agarwal
- 7 Techniques to Visualize Geospatial Data, by Vasavi Ayalasomayajula (*)
(*) 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.
- Ranking Popular Deep Learning Libraries for Data Science, by Rachel Allen and Michael Li
- Edge Analytics - What, Why, When, Who, Where, How?, by Ramesh Dontha
- Best practices of orchestrating Python and R code in ML projects, by Marija Ilic
- Learn Generalized Linear Models (GLM) using R, by Chaitanya Sagar
- How LinkedIn Makes Personalized Recommendations via Photon-ML Machine Learning tool, by Yiming Ma, Bee-Chung Chen, and Deepak Agarwal