Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
Diversity and Collaborative Problem Solving to Address Wicked Data Ethics Problems
 The complexity of the ethical issues facing professionals who...
Climate Tech Needs Machine Learning, Says PAW Climate Conference Chair
  Straight from the horse’s mouth – the founding...
Predictive Policing: Six Ethical Predicaments
  Originally published in KDNuggets. This article is based...

Machine Learning

Face For Sale: Leaks and Lawsuits Blight Russia Facial Recognition

 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 a photo of the person she wanted spying on. The 20-year-old – who was acting as a volunteer

Predictive Policing: Six Ethical Predicaments

  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...

Measuring Invisible Treatment Effects with Uplift Analysis

  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...

How to Make Artificial Intelligence Less Biased

 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...

Walmart is Giving Up On Shelf-scanning Robots in Favor of Humans

 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...

Machine Learning: Business Leaders Must Take an Enlightening Look Under Its Hood (New Training Program)

  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...

Train Your Team to Avoid This ML Management Pitfall and Unite the Business and Tech Sides

  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...

AI Recognizes COVID-19 in the Sound of a Cough

 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...

Switchback Tests and Randomized Experimentation Under Network Effects at DoorDash

 Originally published in Medium.com 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 goals;...

What Twitter Learned From The Recsys 2020 Challenge

 Originally published in Towards Data Science on Oct 26, 2020. This year, Twitter sponsored the RecSys 2020 Challenge, providing a large dataset of user engagements. In this post, we describe the challenge and the insights we had...

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