Books by Eric Siegel
Eric Siegel is a former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, 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. He wrote the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been used in courses at hundreds of universities, as well as The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. At Columbia, he won the Distinguished Faculty award when teaching the graduate computer science courses in ML and AI. Later, he served as a business school professor at UVA Darden. Eric also publishes op-eds on analytics and social justice.
Interviews with Eric Siegel
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1
Evil Robots, Killer Computers, and Other Myths: The Truth About AI and the Future of Humanity
by Steve Shwartz -
2
Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics
by Gerhard Pilcher & Jeff Deal -
3
Digital Decisioning: Using Decision Management to Deliver Business Impact from AI
by James Taylor -
4
The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement
by Andrew Guthrie Ferguson -
5
Handbook of Statistical Analysis and Data Mining Applications
by Robert Nisbet, John Elder, Gary D. Miner
The best books on Machine Learning, recommended by Eric Siegel
The best books on Machine Learning, recommended by Eric Siegel
Machine learning uses data to predict outcomes, explains Eric Siegel, a former professor at Columbia who now advises companies on deploying it in their business. Unlike artificial intelligence, it’s a real technology with a proven track record, he says. He recommends practical books on machine learning that are accessible to the layperson and useful to anyone looking to use it in their business or organization.
