Machine Learning Times
Machine Learning Times
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How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
Diversity and Collaborative Problem Solving to Address Wicked Data Ethics Problems
 The complexity of the ethical issues facing professionals who...
Climate Tech Needs Machine Learning, Says PAW Climate Conference Chair
  Straight from the horse’s mouth – the founding...
Predictive Policing: Six Ethical Predicaments
  Originally published in KDNuggets. This article is based...

data analytics

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 investments (hundreds of millions of dollars) into infrastructure to allow real-time machine learning and has already seen returns

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...

Climate Tech Needs Machine Learning, Says PAW Climate Conference Chair

  Straight from the horse’s mouth – the founding chair of the all-new Predictive Analytics World for Climate, Eugene Kirpichov, along with his colleague, Cassandra Xia – read this article for the central role machine learning has...

Switchback Tests and Randomized Experimentation Under Network Effects at DoorDash

 Originally published in Medium.com Feb 13, 2018. To A/B or not to A/B, that is the question Overview On the Dispatch team at DoorDash, we use simulation, empirical observation, and experimentation to make progress towards our goals;...

What Twitter Learned From The Recsys 2020 Challenge

 Originally published in Towards Data Science on Oct 26, 2020. This year, Twitter sponsored the RecSys 2020 Challenge, providing a large dataset of user engagements. In this post, we describe the challenge and the insights we had...

Split-Second ‘Phantom’ Images Can Fool Tesla’s Autopilot

 Originally posted to Wired.com, Oct 11, 2020. Researchers found they could stop a Tesla by flashing a few frames of a stop sign for less than half a second on an internet-connected billboard. Safety concerns over automated...

Ethical Machine Learning as a Wicked Problem

 In the 1950 and 1960s, social and behavioral sciences were at the cutting edge of innovation. Scientific techniques and quantitative analyses were being applied to some of the most pressing social problems. The thinking was “If NASA...

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