Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Video – How to Use AI Ethically from Natalia Modjeska of Omdia
 Event: Machine Learning Week 2021 Keynote: How to Use AI...
Video – Alexa On The Edge – A Case Study in Customer-Obsessed Research from Susanj of Amazon
 Event: Machine Learning Week 2021 Keynote: Alexa On The Edge...
Why AI Isn’t Going to Replace Data Scientists Any Time Soon
 Should data scientists consider AI a threat to their...
“Doing AI” Is a Mistake that Detracts from Real Problem-Solving
  A note from Executive Editor Eric Siegel: Richard...

Analytics

How Trip Inferences and Machine Learning Optimize Delivery Times on Uber Eats

 Originally published in Uber Engineering, June 15, 2018 In Uber’s ride-hailing business, a driver picks up a user from a curbside or other location, and then drops them off at their destination, completing a trip. Uber Eats, our food delivery service, faces a more complex trip model. When a user requests a food order in

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...

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...

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...

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...

Analytics Assessment: A Blueprint for Effective Analytics Programs

  If you are like me, when you first heard of analytics and its ability to benefit businesses, non-profits, and government agencies, you felt invigorated and excited, having to hold back the urge to shout “Charge!”  As...

Machine Learning Tip: Nested Cross Validation – When (Simple) Cross Validation Isn’t Enough

 Several scientific disciplines have been rocked by a crisis of reproducibility in recent years . Not long ago, Bayer researchers found that they were only able to replicate 25% of the important pharmaceutical papers they examined , and an...

Women Flocking to Statistics, the Newly Hot, High-Tech Field of Data Science

  Originally published in The Washington Post LINCOLN, Neb. — The numbers of women in science and technology are dismal: Barely 18 percent of computer science degrees go to women. Women make up 11 percent of math faculty....

Improved Customer Marketing with Multiple Models

 Data miners employ a variety of techniques to develop robust predictive models. Often, our analysts are confronted with a dilemma. Should we construct one model to address the business objective? Or perhaps, multiple models may be in...

Analytics make Bright Cellars the Pandora of wine clubs

 Originally published in The Journal Sentinel, June 28, 2017 If the machine-learning algorithm gets it right, you’ll be matched with wines you love. That’s the idea behind Bright Cellars, a Milwaukee-based monthly wine club begun by two...

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