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Open-Source Library Provides Explanation for Machine Learning Through Diverse Counterfactuals

 Originally published in Microsoft Research Blog, January 28, 2020 Consider a person who applies for a loan with a financial company, but their application is rejected by a machine learning algorithm used to determine who receives a loan from the company. How would you explain the decision made by the algorithm to this person? One

Keeping Data Inclusivity Without Diluting your Results

 Originally published in WeAllCount.com, January 17, 2020 Let’s say you are surveying 100 people out of 10,000. You want to analyze the data from your sample of 100 to get answers about the likely behaviors and preferences...

Google Just Published 25 Million Free Datasets

 Originally published in Medium, January 23, 2020 Note: Google’s new dataset search tool was publicly released on January 23rd, 2020. Here’s what you need to know about the largest data repository in the world. Google recently released...

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...

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...

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,...

Applying Occam’s Razor to Deep Learning

 Originally published in Memo’s Island, December 15, 2019 Preamble: Changing concepts in machine learning due to deep learning Occam’s razor or principle of parsimony has been the guiding principle in statistical model selection. In comparing two models,...

Data Project Checklist

 Originally published in Fast.ai, January 7, 2020. As we discussed in Designing Great Data Products, there’s a lot more to creating useful data projects than just training an accurate model! When I used to do consulting, I’d...

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...

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