Machine Learning
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 to play for climate tech and access the viral “Goodbye, Google” posts that marked their departure from big
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...
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...
Originally published in IEEE Spectrum, Nov 4, 2020. Based on a cellphone-recorded cough, machine learning models accurately detect coronavirus even in people with no symptoms. Again and again, experts have pleaded that we need more and faster...
David Kastelman, Data Scientist & Raghav Ramesh,
Machine Learning Engineer
Originally published in DoorDash Engineering Feb 13, 2018. To A/B or not to A/B, that is the question Overview On the Dispatch team at DoorDash, we use simulation, empirical observation, and experimentation to make progress towards our...
