Gregory Piatetsky-Shapiro, PhD, is the President of KDnuggets, and a top influencer in Big Data, Data Mining, and Data Science. He is a co-founder of KDD, the leading research conference on Data Mining and Data Science, and co-founder and past chair of ACM SIGKDD. He was a Chief Scientist at two startups. Here is Gregory's bio . Follow Gregory on Twitter: @kdnuggets or LinkedIn.
Most viewed KDnuggets stories in 2021 focused on Data Scientists vs Data Engineers; How to become a Data Scientist; Increase income with Data Science; Stunning visualizations using python; and more.
Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.
After 28+ years of publishing and editing KDnuggets, I am retiring and transitioning KDnuggets to Matthew Mayo, who will become the new editor-in-chief. I want to share with you my story of KDnuggets and highlight some of the useful nuggets of experience I learned along this amazing journey.
The October blogs that won KDnuggets Rewards include: How I Tripled My Income With Data Science in 18 Months; What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; How to Build Strong Data Science Portfolio as a Beginner; Data Scientist vs Data Engineer Salary.
After a pause, we will be resuming KDnuggets Top Blog Rewards Program, starting with blogs published on KDnuggets in December. The program will be bigger, with $3,000 (USD) divided among top 8 most viewed guest blogs. Original blogs rewarded at the rate of 3X of reposts. Submit your original blog to KDnuggets first !
OpenAI has recently done amazing work summarizing full-length books. We have asked OpenAI to summarize two recent KDnuggets posts, and the results have a very human-like quality. Only the last line betrays the inhuman intelligence at work.
The September blogs that earned KDnuggets Rewards include: Do You Read Excel Files with Python? There is a 1000x Faster Way; Data Scientists Without Data Engineering Skills Will Face the Harsh Truth; Path to Full Stack Data Science; Nine Tools I Wish I Mastered Before My PhD in Machine Learning