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...

Predictive Analytics

Lime Uses Sensor Data to Keep Scooters Off Sidewalks

 Originally published in VentureBeat, January 28, 2020 While the burgeoning urban micromobility movement offers many advantages over traditional transport, the unbridled proliferation of electric bikes and scooters also comes with major downsides — such as cluttered and hazardous sidewalks. Against this backdrop, VC-backed Lime today announced a new approach to keeping riders off the sidewalk,

In Coronavirus Response, AI is Becoming a Useful Tool in a Global Outbreak

 Originally published in StatNews, January 29, 2020 Artificial intelligence is not going to stop the new coronavirus or replace the role of expert epidemiologists. But for the first time in a global outbreak, it is becoming a...

What Every Analytics Manger Should Know About Working With Universities. But Doesn’t.

   This is part 1 of a 5-part series on university/corporate partnerships in analytics and data science How many .edu addresses do you have in your email contacts? If you are like most Analytics Managers, the answer...

Deepfakes Security Risks

  Originally published in KDNuggets, January, 2020. Deepfakes have instilled panic in experts since they first emerged in 2017. Microsoft and Facebook have recently announced a contest to identify deepfakes more efficiently. Deepfakes, videos where a person’s...

Predictive Maintenance Drives Big Gains in Real World

 Originally published in Datanamani, January 8, 2020. For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, May 31-June 4, 2020.   Nobody likes doing work that isn’t needed,...

How Our Primary Model Works

 Originally published in FiveThirtyEight, January 9, 2020 Here at FiveThirtyEight, we’ve never built a complete back-to-front model of the presidential primaries before. Instead, in 2008, 2012 and 2016, we issued forecasts of individual primaries and caucuses on...

The 4 Hottest Trends in Data Science for 2020

 Originally published in Towards Data Science, January 8, 2020 2019 was a big year for all of Data Science. Companies all over the world across a wide variety of industries have been going through what people are...

The Problem with Hiring Algorithms

  Originally published in EthicalSystems.org, December 1, 2019 In 2004, when a “webcam” was relatively unheard-of tech, Mark Newman knew that it would be the future of hiring. One of the first things the 20-year old did,...

Accuracy Fallacy: The Media’s Coverage of AI Is Bogus

  A shorter version of this article was originally published by Scientific American. Headlines about machine learning promise godlike predictive power. Here are four examples: Newsweek: “AI Can Tell If You’re Gay: Artificial Intelligence Predicts Sexuality from...

Three Common Mistakes That Can Derail Your Team’s Predictive Analytics Efforts

  Originally published by Harvard Business Review With today’s high demand for data scientists and the high salaries that they command, it’s often not practical for companies to keep them on staff.  Instead, many organizations work to...

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