Books by Steve Shwartz
“There are a lot of AI hype books. I didn’t include any of those in my list. They’ve been driving me bananas for decades. Then, there are a bunch of generally less popular myth-buster books. This is my favorite one…This book, I think, does a great job. It’s not just a mythbuster; it’s a general introduction for newcomers, lay readers, and business readers with any background to understand, and put perspective on the hype and the overpromises. Of the mythbuster books—of which there are a dozen or so that I’m aware of—this is the one I like best.” Read more...
The best books on Machine Learning
Eric Siegel, Entrepreneurs & Business People
Interviews where books by Steve Shwartz were recommended
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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.
