Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Jev Fever: Predictive AI Is Superhot Again
  Originally published in Forbes The more AI changes, the...
GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...

Industry News

The AI “Gaydar” Study and the Real Dangers of Big Data

 Originally published in The New Yorker Editor’s note: Keep in mind that the high “accuracies” such as 81%, as reported by this research up front, are misleading. The model is effective, with a lift around 7 at 10%, but the “accuracy” measure is over a hypothetical sample that is 50/50 positive/negative, which is not the

Using Machine Learning to Predict Value of Homes On Airbnb

 Originally published in Medium Introduction Data products have always been an instrumental part of Airbnb’s service. However, we have long recognized that it’s costly to make data products. For example, personalized search ranking enables guests to more...

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....

How HBO’s Silicon Valley Built “Not Hotdog” with Mobile TensorFlow, Keras & React Native

 Originally published in Hacker Noon, June 26, 2017 The HBO show Silicon Valley released a real AI app that identifies hotdogs — and not hotdogs — like the one shown on season 4’s 4th episode (the app is now available on Android as well as...

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...

Forecasting At Uber With Recurrent Neural Networks

 Originally published in Uber Engineering, June 9, 2017 At Uber, event forecasting enables us to future-proof our services based on anticipated user demand. The goal is to accurately predict where, when, and how many ride requests Uber...

Predictive Analytics for Fintech and Banking

 Steven Ramirez is the conference moderator for Predictive Analytics World for Financial, Oct 29-Nov 2, 2017 in New York—where he will also provide the opening keynote, “Chatbots, Robo-Advisors, and AI, Oh My! Predictive Analytics and Machine Learning Case...

What Is the Best Way to Get More Women into Analytics? Don’t Make Them into Men

  Originally published in Linkedin I recently sat on a panel of “Women in Predictive Analytics”, moderated by Greta Roberts with Jeanne Harris from Columbia University and Lauren Haynes from University of Chicago.  Although the three of us on the panel had never...

Uncle Sam Wants Your Deep Neural Networks

   Originally published in NYTimes, June 22, 2017 SAN FRANCISCO — The Department of Homeland Security is turning to data scientists to improve screening techniques at airports. On Thursday, the department, working with Google, introduced a $1.5 million contest to build computer...

Analytics 101: Assessing Project Value

 The key question that organizations ALWAYS ask when undertaking an analytics initiative is “Can they guarantee value from the project?”   They want to know whether the return on their investment will be positive. But they want this...

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