Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Explainable Machine Learning, Model Transparency, and the Right to Explanation
 Check out this topical video from Predictive Analytics World...
Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities
 Book Review of Closing the Analytics Talent Gap: An...
Guilty or Not Guilty: Weight of Evidence
 You have been invited to serve as a juror...
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...

Predictive Analytics

Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities

 Book Review of Closing the Analytics Talent Gap: An Executive’s Guide to Working with Universitiesby Dr. Jennifer Priestley and Dr. Robert McGrath (CRC Press 2021, part of the Data Analytics Applications series, edited by Jay Liebowitz). We started Enolytics a few years ago in order to fill the gap we saw between the abundance of

Worried About Your Firm’s AI Ethics? These Startups Are Here to Help.

 Originally published in MIT Technology Review, Jan 15, 2021. A growing ecosystem of “responsible AI” ventures promise to help organizations monitor and fix their AI models. Rumman Chowdhury’s job used to involve a lot of translation. As...

How Facebook is Using AI to Improve Photo Descriptions for People Who Are Blind or Visually Impaired

 Originally published in [email protected], Jan 19, 2021. When Facebook users scroll through their News Feed, they find all kinds of content — articles, friends’ comments, event invitations, and of course, photos. Most people are able to instantly...

Guilty or Not Guilty: Weight of Evidence

 You have been invited to serve as a juror in a criminal related case. After hearing testimony, the presiding judge offers a summary of the proceeding. “Evaluate the evidence,” he declares. Whether it was an eyewitness account,...

Machine Learning is Going Real-Time

 Originally published in Chip Huyen, Dec 27, 2020. After talking to machine learning and infrastructure engineers at major Internet companies across the US, Europe, and China, I noticed two groups of companies. One group has made significant...

Supporting Content Decision Makers With Machine Learning

 Originally published in The Netflix Tech Blog, Dec 10, 2020. Netflix is pioneering content creation at an unprecedented scale. Our catalog of thousands of films and series caters to 195M+ members in over 190 countries who span...

Hateful Memes Challenge Winners

 Originally published in Facebook AI, Dec 11, 2020. AI has made progress in detecting hate speech, but important and difficult technical challenges remain. Back in May 2020, Facebook AI partnered with Getty Images and DrivenData to launch...

How Machine Learning Works for Social Good

  Originally published in KDnuggets, Nov 2020. This article is based on a transcript from Eric Siegel’s Machine Learning for Everyone (on Coursera). View the video version of this specific article Just as businesses tap the value...

How to Build and Maintain High Quality Data Without Raising Billions

 Originally published in Anomalo, Dec 2, 2020. Airbnb has always been a data driven company. Back in 2015, they were laying the foundation to ensure that data science was democratized at Airbnb. Meanwhile, they have grown to...

The Way We Train AI is Fundamentally Flawed

 Originally published in MIT Technology Review, Nov 18, 2020. The process used to build most of the machine-learning models we use today can’t tell if they will work in the real world or not—and that’s a problem....

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