Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...

Machine Learning

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 useful tool in efforts to monitor and respond to the crisis, according to health data specialists. In prior

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. 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...

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...

Dr. Data Show Video: Why Machine Learning Is the Coolest Science

 Watch the premiere episode of The Dr. Data Show, which answers the question, “What makes machine learning the coolest science?” About the Dr. Data Show. This new web series breaks the mold for data science infotainment, captivating...

Page 34 of 39 1 29 30 31 32 33 34 35 36 37 38 39