**By Gregory Piatetsky, KDnuggets.**

### Most Viewed - Platinum Badge (>24,000 UPV)

- Why so many data scientists are leaving their jobs, by Jonny Brooks (*)

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

- Key Algorithms and Statistical Models for Aspiring Data Scientists, by Colleen Farrelly (*)
- Top 20 Deep Learning Papers, 2018 Edition, by Pedro Lopez
- Top 8 Free Must-Read Books on Deep Learning, by Dan Clark

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

- 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning, by Ajit Jaokar
- How Do I Get My First Data Science Job?, by Reshama Shaikh
- Ten Machine Learning Algorithms You Should Know to Become a Data Scientist, by Muktabh Mayank (*)
- Python Regular Expressions Cheat Sheet, by Alex Yang
- Blockchain Explained in 7 Python Functions, by Tom Cusack
- Top 10 Technology Trends of 2018, by ActiveWizards (*)

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

- 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning, by Ajit Jaokar (*)

### Most Shared - Gold Badges (>600 shares)

- Top 8 Free Must-Read Books on Deep Learning, by Dan Clark
- Top 20 Deep Learning Papers, 2018 Edition, by Pedro Lopez
- Blockchain Explained in 7 Python Functions, by Tom Cusack
- Python Regular Expressions Cheat Sheet, by Alex Yang (*)
- Why so many data scientists are leaving their jobs, by Jonny Brooks

### Most Shared - Silver Badges (>350 shares)

- Choosing the Right Metric for Evaluating Machine Learning Models - Part 1, by Alvira Swalin (*)
- Ten Machine Learning Algorithms You Should Know to Become a Data Scientist, by Muktabh Mayank
- Top 10 Technology Trends of 2018, by ActiveWizards
- 12 Useful Things to Know About Machine Learning, by James Le (*)
- Why Deep Learning is perfect for NLP (Natural Language Processing), by Wei Di, Anurag Bhardwaj & Jianing Wei (*)

(*) indicates that badge 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.- Implementing Deep Learning Methods and Feature Engineering for Text Data: The Skip-gram Model, by Dipanjan Sarkar
- 12 Useful Things to Know About Machine Learning, by James Le
- Building Convolutional Neural Network using NumPy from Scratch, by Ahmed Gad
- Why Deep Learning is perfect for NLP (Natural Language Processing), by Wei Di, Anurag Bhardwaj & Jianing Wei, packt sponsored
- Choosing the Right Metric for Evaluating Machine Learning Models - Part 1, by Alvira Swalin
- Where Analytics, Data Science, Machine Learning Were Applied: Trends and Analysis, by Gregory Piatetsky