Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...

data analytics

The Three Reasons Companies Seek University Partnerships

 In addition to this article, Dr. Priestley will also present on this topic at Predictive Analytics World for Business in Las Vegas, May 31-June 4, 2020. For details about her session, “How Leading Enterprises Leverage Universities to Boost Analytical Innovation and Tap Talent”, click here.   This is part 2 of a 5-part series on

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...

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...

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

  A shorter version of this article was originally published by Scientific American. A note from the editor: Although this article is a few years old, we’re bringing it back to your attention in 2024 since the...

Robotic Modeler for Marketing Campaigns

 SUMMARY: Automated modeling is already in focus by practitioners. However, applications for marketing campaigns require significant effort in data preparation for modeling. To address this bottleneck, the robotic modeler integrates a front layer, which automatically scrolls all...

Are We Using Machine Learning?

 In the midst of a recent engagement an executive suddenly asked, “Are we using Machine Learning?”.  This caught us off-guard; working in the field for many years, we use the “learning sciences” virtually every day to solve...

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