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Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who… · Experience: Book: The AI Playbook · Location: San Francisco Bay Area · 500+ connections on LinkedIn.
- Book: The AI Playbook
Dec 30, 2015 · ERIC SIEGEL, PhD, is the founder of Predictive Analytics World and executive editor of The Predictive Analytics Times. A former Columbia University professor, he is a renowned speaker, educator, and leader in the field.
Eric Siegel is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker.
Mar 26, 2024 · In this episode, Eric Siegel narrates his article in The European Business Review, "Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions." The detection of fraudulent credit card transactions is an ideal candidate for the application of machine learning technology.
"This book is an operating manual for 21st century life. Drawing predictions from big data is at the heart of nearly everything, whether it's in science, business, finance, sports, or politics. And Eric Siegel is the ideal guide." —Stephen Baker, author, The Numerati and Final Jeopardy: The Story of Watson, the Computer That Will Transform ...
Jan 20, 2016 · In this rich, fascinating--and surprisingly accessible--introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Trendsetters like Chase, Facebook, Google, HP, IBM, Match.com, Netflix, the NSA, Pfizer, Target, and Uber are seizing upon the power of big data to predict human behavior--including yours.
Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week ...
