Top Stories of 2018: 9 Must-have skills you need to become a Data Scientist, updated; Python eats away at R: Top Software for Analytics, Data Science, Machine Learning

In 2018, KDnuggets continued to be a leading blog covering the intersecting fields of AI, Analytics, Big Data, Data Science, Deep Learning, and Machine Learning.

We published over 1200 stories, had over 5.6 million visitors who saw over 15 million pages. KDnuggets now reaches over 260,000 subscribers or followers via email and social media.

Here are the most popular KDnuggets stories from 2018 - all must read stories, if you have not already. Enjoy!

Word Cloud from the titles of top 50 blogs of 2018. No surprise - we focus on what is important in Data Science and Machine Learning, with Python, Data Scientist(s), AI, Analytics, Algorithms, and Visualization, thrown in the mix.

2018 Platinum Blogs - over 80,000 unique page views in 2018

1. 9 Must-have skills you need to become a Data Scientist, updated, by Simplilearn
2. 5 Data Science Projects That Will Get You Hired in 2018, by John Sullivan
3. Top 20 Python AI and Machine Learning Open Source Projects, by Ilan Reinstein

 
2018 Gold Blogs - over 50,000 unique page views in 2018

4. Why so many data scientists are leaving their jobs, by Jonny Brooks
5. Neural network AI is simple. So... Stop pretending you are a genius, by Brandon Wirtz
6. Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis, by Gregory Piatetsky
7. Top 10 Technology Trends of 2018, by Active Wizards

 
2018 Silver Blogs - over 40,000 unique page views in 2018

8. 3 Essential Google Colaboratory Tips & Tricks, by Matthew Mayo
9. Essential Math for Data Science: 'Why' and 'How', by Tirthajyoti Sarkar
10. Gainers and Losers in Gartner 2018 Magic Quadrant for Data Science and Machine Learning Platforms, by Gregory Piatetsky
11. Exploring DeepFakes, by Gaurav Oberoi

Here are the most shared stories in 2018. Alas, LinkedIn counts, which used to provide around 2/3 of KDnuggets social shares, are not available in 2018, since Linked stopped providing the counts early this year. As a result, the thresholds for most shared stories are lower this year.

2018 Platinum Blogs - over 2,000 shares in 2018

1. Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis, by Gregory Piatetsky
2. Neural network AI is simple. So... Stop pretending you are a genius, by Brandon Wirtz
3. 10 More Free Must-Read Books for Machine Learning and Data Science, by Matthew Mayo
4. Top 20 Python AI and Machine Learning Open Source Projects, by Ilan Reinstein

 
2018 Gold Blog - over 1,500 shares in 2018

5. 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning, by Ajit Jaokar
6. Data Science vs Machine Learning vs Data Analytics vs Business Analytics, by Iliya Valchanov
7. Data Visualization Cheat Sheet, by Jon Schwabish
8. Top 10 TED Talks for Data Scientists and Machine Learning Engineers, by Ilan Reinstein

 
2018 Silver Blog - over 1,200 shares in 2018

9. Journey to Machine Learning - 100 Days of ML Code, by Avik Jain
10. Machine Learning Cheat Sheets, by Matthew Mayo

Among top 50 blogs of 2018, here are most viral blogs, with the highest ratio of shares/UPV.

1. 18 Inspiring Women In AI, Big Data, Data Science, Machine Learning, by Gregory Piatetsky
2. Journey to Machine Learning - 100 Days of ML Code, by Avik Jain
3. Top 10 TED Talks for Data Scientists and Machine Learning Engineers, by Ilan Reinstein
4. 2018 KDnuggets Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?, by Gregory Piatetsky
5. 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning, by Ajit Jaokar

Finally, here are the most discussed blogs (with the most comments):

1. Why so many data scientists are leaving their jobs, by Jonny Brooks
2. Neural network AI is simple. So... Stop pretending you are a genius, by Brandon Wirtz
3. 3 Essential Google Colaboratory Tips & Tricks, by Matthew Mayo
4. What is the Best Python IDE for Data Science?, by Saurabh Hooda
5. 5 Data Science Projects That Will Get You Hired in 2018, by John Sullivan
6. Machine Learning Cheat Sheets, by Matthew Mayo