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 — nor more risky — than in law enforcement and national security. In this article, I’ll review this […]

  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 have heart disease is a good first step, but knowing behaviors or treatments that will reduce the risk […]

  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 by concrete evidence in the form of data – determining whom to call, mail, approve, test, diagnose, warn, […]

  It’s the age of machine learning. Companies are seizing upon the power of this technology to combat risk, boost sales, cut costs, block fraud, streamline manufacturing, conquer spam, toughen crime fighting, and win elections. But while there are so many how-to training programs for hands-on techies, there are practically none that also serve business […]

 In the 1950 and 1960s, social and behavioral sciences were at the cutting edge of innovation. Scientific techniques and quantitative analyses were being applied to some of the most pressing social problems. The thinking was “If NASA can put men in space, why can’t we use these techniques to solve the problems of housing discrimination […]

 Originally published in Big Think When you harness the power and potential of machine learning, there are also some drastic downsides that you’ve got to manage. Deploying machine learning, you face the risk that it be discriminatory, biased, inequitable, exploitative, or opaque. In this article, I cover six ways that machine learning threatens social justice […]

 Models predicting the potential spread of the COVID-19 pandemic have become a fixture of American life. Many of these models use typical demographic data, coupled with underlying medical conditions, infection rates, etc. Indeed, the spread of this disease may have made ‘predictive models’ a frequent household topic of conversation. Much discussion has occurred on the […]