Top December Stories: Computer Vision by Andrew Ng – 11 Lessons Learned; Top Data Science and Machine Learning Methods Used in 2017

Here are the most viewed and most shared stories in December 2017. Lessons for entering into Data Science and our series on Main Developments in 2017 and Key Trends for 2018 were very popular last month.

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

1. Computer Vision by Andrew Ng - 11 Lessons Learned, by Ryan Shrott
2. How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?, by Tirthajyoti Sarkar
3. Top Data Science and Machine Learning Methods Used in 2017, by Gregory Piatetsky

Most Viewed - Silver Badges (> 5,500 UPV)

4. Can I Become a Data Scientist: Research into 1,001 Data Scientist Profiles, by Iliya Valchanov (*)
5. Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018, by Matthew Mayo
6. Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018, by Gregory Piatetsky
7. Yet Another Day in the Life of a Data Scientist, by Matthew Mayo (*)
8. 70 Amazing Free Data Sources You Should Know, by Aries Chau (*)
9. Big Data: Main Developments in 2017 and Key Trends in 2018, by Matthew Mayo
10. Transitioning to Data Science: How to become a data scientist, and how to create a data science team, by Amir Feizpour (*)
11. Using Deep Learning to Solve Real World Problems, by Matthew Mayo

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

1. Top Data Science and Machine Learning Methods Used in 2017, by Gregory Piatetsky
2. Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018, by Gregory Piatetsky
3. How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?, by Tirthajyoti Sarkar
4. Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018, by Matthew Mayo (*)
5. Using Deep Learning to Solve Real World Problems, by Matthew Mayo

Most Shared - Silver Badges (>650 shares)

6. Big Data: Main Developments in 2017 and Key Trends in 2018, by Matthew Mayo
7. Computer Vision by Andrew Ng - 11 Lessons Learned, by Ryan Shrott
8. 70 Amazing Free Data Sources You Should Know, by Aries Chau (*)
9. Xavier Amatriain's Machine Learning and Artificial Intelligence Year-end Roundup, by Matthew Mayo (*)
10. Can I Become a Data Scientist: Research into 1,001 Data Scientist Profiles, by Iliya Valchanov
11. Industry Predictions: Main AI, Big Data, Data Science Developments in 2017 and Trends for 2018, by Gregory Piatetsky (*)
12. Transitioning to Data Science: How to become a data scientist, and how to create a data science team, by Amir Feizpour
13. What is a Bayesian Neural Network?, by Jonathan Gordon (*)

(*) 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. Industry Predictions: Main AI, Big Data, Data Science Developments in 2017 and Trends for 2018, by Gregory Piatetsky
2. Deep Learning Made Easy with Deep Cognition, by Favio Vazquez
3. Using Deep Learning to Solve Real World Problems, by Matthew Mayo
4. The 10 Deep Learning Methods AI Practitioners Need to Apply, by James Le
5. Xavier Amatriain's Machine Learning and Artificial Intelligence Year-end Roundup, by Matthew Mayo