Author Archive
Originally published in MIT Technology Review, Nov 18, 2020. The process used to build most of the machine-learning models we use today can’t tell if they will work in the real world or not—and that’s a problem. It’s no secret that machine-learning models tuned and tweaked to near-perfect performance in the lab often fail in
Originally published in Forbes, Nov 23, 2020. The most obvious way that artificial intelligence (AI) can impact retailers is to help consumers choose the right products when they shop. But there’s another less apparent way that AI...
By: Sherrill W. Hayes, Executive Director of the Analytics and Data Science Institute and Professor of Conflict Management,
Kennesaw State University
The complexity of the ethical issues facing professionals who work in machine learning, data science, analytics, and related professions have all the hallmarks of a “wicked problem”. Rittel and Weber, the researchers responsible for coining the term...
Straight from the horse’s mouth – the founding chair of the all-new Predictive Analytics World for Climate, Eugene Kirpichov, along with his colleague, Cassandra Xia – read this article for the central role machine learning has...
Originally published in Reuters, Nov 9, 2020. TBILISI (Thomson Reuters Foundation) – When Anna Kuznetsova saw an ad offering access to Moscow’s face recognition cameras, all she had to do was pay 16,000 roubles ($200) and send...
Originally published in KDNuggets. This article is based on a transcript from Eric Siegel’s Machine Learning for Everyone. View the video version of this specific article Nowhere could the application of machine learning prove more important...
Models make predictions by identifying consistent correlations in what has been observed, but we usually require more than predictions to know what action we should take. For example, knowing that older people are more likely to...
By: Michael Totty
Originally published in The Wall Street Journal, Nov 3, 2020. AI systems can unfairly penalize certain segments of the population—especially women and minorities. Researchers and tech companies are figuring out how to address that. As artificial intelligence...
Originally published in The Verge, Nov 3, 2020. The retail giant has ended a contract with Bossa Nova Robotics. Retail robots that can scan shelves and update inventory have been one of the most visible faces of...
In this article, I identify unmet learner needs that are addressed by my business-oriented machine learning course series, Machine Learning for Everyone. Machine learning runs the world. It drives millions of business-critical decisions more effectively, guided...
