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Topics Covered
- Predictive analytics
- Machine learning
- Deep learning
- Predictive models
- Technology integration
- Data analysis
Biography
Eric Siegel, Ph.D., founder of the Predictive Analytics World (15k attendees since 2009) and Deep Learning World conference series, and executive editor of The Predictive Analytics Times, makes the how and why of predictive analytics (aka machine learning) understandable and captivating. He is the author of the award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, a former Columbia University professor who used to sing to his students, the host of The Dr. Data Show, and a renowned speaker and educator who's been commissioned for more than 100 keynote addresses by these industries: ad tech, construction, e-commerce, environmentalism, financial services, government, healthcare, human resources, insurance, law, manufacturing, market research, marketing, news media, pharmaceuticals, restaurants, real estate, and travel.
Eric has appeared on Bloomberg TV and Radio, Business News Network (Canada), Fox News, Israel National Radio, National Geographic Breakthrough, NPR Marketplace, Radio National (Australia), and TheStreet. He and his book have been featured in Big Think, Businessweek, CBS MoneyWatch, Contagious Magazine, The European Business Review, The Financial Times, Forbes, Forrester, Fortune, GQ, Harvard Business Review, The Huffington Post, The New York Review of Books, The New York Times, Newsweek, Quartz, Salon, The San Francisco Chronicle, Scientific American, The Seattle Post-Intelligencer, The Wall Street Journal, The Washington Post, and WSJ MarketWatch. Follow him at @predictanalytic.
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Talk Citation
Siegel, E. (2020, May 14). Predictive analytics [Audio file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved December 8, 2024, from https://doi.org/10.69645/WFNG5530.Export Citation (RIS)