Here are the most popular posts in KDnuggets in January, based on the number of unique page views (UPV), and social share counts from Facebook, Twitter, and Addthis.
Most Viewed - Platinum Badges (>24,000 UPV)
- Your AI skills are worth less than you think, by Ric Szopa (*)
Most Viewed - Gold Badges (>12,000 UPV)
- The cold start problem: how to build your machine learning portfolio, by Ed Harris (*)
- How to go from Zero to Employment in Data Science, by Alexander Engelhardt
- 2018's Top 7 Python Libraries for Data Science and AI, by Favio Vazquez
- The Five Best Data Visualization Libraries, by Lio Fleishman
Most Viewed - Silver Badges (> 6,000 UPV)
- 7 Steps to Mastering Basic Machine Learning with Python - 2019 Edition, by Matthew Mayo
- Ontology and Data Science, by Favio Vazquez
- Top 10 Books on NLP and Text Analysis, by SciForce
- End To End Guide For Machine Learning Projects, by Farhad Malik
Most Shared - Platinum Badges (>1,200 shares)
- Your AI skills are worth less than you think, by Ric Szopa
Most Shared - Gold Badges (>600 shares)
- 7 Steps to Mastering Basic Machine Learning with Python - 2019 Edition, by Matthew Mayo
Most Shared - Silver Badges (>300 shares)
- The cold start problem: how to build your machine learning portfolio, by Ed Harris
- Top 10 Books on NLP and Text Analysis, by SciForce
- 2018's Top 7 Python Libraries for Data Science and AI, by Favio Vazquez
- End To End Guide For Machine Learning Projects, by Farhad Malik
- NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing, by Matthew Mayo
- How to build an API for a machine learning model in 5 minutes using Flask, by Tim Elfrink (*)
- How to solve 90% of NLP problems: a step-by-step guide, by Emmanuel Ameisen,
- What were the most significant machine learning/AI advances in 2018?, by Kai Xin Thia (*)
- How to go from Zero to Employment in Data Science, by Alexander Engelhardt
(*) indicates that badge added or upgraded based on these monthly results.
Most Shareable (Viral) Blogs
Among the top blogs, here are the blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.
- Building AI to Build AI: The Project That Won the NeurIPS AutoML Challenge, by Flytxt
- NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing, by Matthew Mayo
- What were the most significant machine learning/AI advances in 2018?, by Kai Xin Thia
- 4 Myths of Big Data and 4 Ways to Improve with Deep Data, by Stephen Smith
- Approaches to Text Summarization: An Overview, by Matthew Mayo
- Data Science Project Flow for Startups, by Shay Palachy
- 7 Steps to Mastering Basic Machine Learning with Python - 2019 Edition, by Matthew Mayo