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)

1. Top 10 Machine Learning Algorithms for Beginners, by Reena Shaw (*)

 

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

2. Understanding Machine Learning Algorithms, by Brett Wujek
3. Want to Become a Data Scientist? Read This Interview First, by Kevin Gray

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

4. 7 Types of Artificial Neural Networks for Natural Language Processing, by Olga Davydova
5. Deep Learning for Object Detection: A Comprehensive Review, by Joyce Xu (*)
6. How I started with learning AI in the last 2 months, by Shival Gupta (*)
7. Learning git is not enough: becoming a data scientist after a science PhD, by Mike Lee Williams (*)
8. XGBoost, a Top Machine Learning Method on Kaggle, Explained, by Ilan Reinstein
9. AlphaGo Zero: The Most Significant Research Advance in AI, by Gregory Piatetsky (*)
10. 6 Books Every Data Scientist Should Keep Nearby, by Kayla Matthews
11. Using Machine Learning to Predict and Explain Employee Attrition, by Matt Dancho (*)
12. 7 Steps to Mastering Deep Learning with Keras, by Matthew Mayo

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Most Shared - Platinum Badge
(>2,400 shares)

1. Top 10 Machine Learning Algorithms for Beginners, by Reena Shaw

 

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

2. Understanding Machine Learning Algorithms, by Brett Wujek
3. 6 Books Every Data Scientist Should Keep Nearby, by Kayla Matthews
4. Want to Become a Data Scientist? Read This Interview First, by Kevin Gray

Most Shared - Silver Badges (>700 shares)

5. Ranking Popular Deep Learning Libraries for Data Science, by Rachel Allen and Michael Li
6. 7 Types of Artificial Neural Networks for Natural Language Processing, by Olga Davydova
7. Using Machine Learning to Predict and Explain Employee Attrition, by Matt Dancho
8. AlphaGo Zero: The Most Significant Research Advance in AI, by Gregory Piatetsky
9. XGBoost: A Concise Technical Overview, by Reena Shaw (*)
10. An Overview of 3 Popular Courses on Deep Learning, by Vishnu Subramanian.
11. XGBoost, a Top Machine Learning Method on Kaggle, Explained, by Ilan Reinstein
12. TensorFlow: Building Feed-Forward Neural Networks Step-by-Step, by Ahmed Gad
13. Deep Learning for Object Detection: A Comprehensive Review, by Joyce Xu
14. Random Forests(r), Explained, by Ilan Reinstein (*)
15. How LinkedIn Makes Personalized Recommendations via Photon-ML Machine Learning tool, by Yiming Ma, Bee-Chung Chen, and Deepak Agarwal
16. 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.

1. Ranking Popular Deep Learning Libraries for Data Science, by Rachel Allen and Michael Li
2. Edge Analytics - What, Why, When, Who, Where, How?, by Ramesh Dontha
3. Best practices of orchestrating Python and R code in ML projects, by Marija Ilic
4. Learn Generalized Linear Models (GLM) using R, by Chaitanya Sagar
5. How LinkedIn Makes Personalized Recommendations via Photon-ML Machine Learning tool, by Yiming Ma, Bee-Chung Chen, and Deepak Agarwal