Gregory Piatetsky-Shapiro, KDnuggets President(@KDnuggets), a top Big Data & Data Science Influencer


Manage episode 185131478 series 1466098
By Data Podcast, Rajib Bahar, and Shabnam Khan. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.
Gregory Piatetsky-Shapiro, PHD, is the President of KDnuggets, a leading site for Analytics, Big Data, Data Science, and Machine Learning. Gregory is a co-founder of KDD (Knowledge Discovery and Data mining conferences), and a top research conference in the field... He is also a co-founder and past chair of ACM SIGKDD, a professional association for Data Mining and Data Science, and a well-known Data Scientist. Interviewer: Rajib Bahar, Shabnam Khan Agenda: RB - According to Forbes, you're one of the top Big Data Influencers...Your KDNuggets site has well over 60 awards and mentions as a leading publication. I often find myself reading and tweeting your articles from KDNuggets. There are few places to find exciting articles on Data Science, AI, BigData... Please tell us a brief history of KDNuggets... SB - I understand you have transitioned from researcher role to a high level editor role. What do you enjoy about it? RB - What are your thoughts on Global trend on Machine Learning, AI, & Big Data? SB - Where does automation of Data Science come into play? Is that a helpful process or distraction from useful analysis? How do you implement it? RB - We all have bias. Does Big Data suffer from any bias such as implicit bias? SB - Who are these so called Citizen Data Scientists? Why are they important? How can they serve society at large? RB - How do we connect with you on twitter & social media? Additional Reference Materials from Gregory for our listeners. Data Science Automation: Data Scientists Automated and Unemployed by 2025? The Current State of Automated Machine Learning Trends: Machine Learning overtaking Big Data Optimism about AI improving society is high, but drops with experience developing AI systems Bias in Big Data Mirage of a Citizen Data Scientist: Citizen Data Scientist Cartoon: Overfitting The Cardinal Sin of Data Mining and Data Science: Overfitting Music:

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