Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

Industry News

Five Points for Anger, One for a ‘Like’: How Facebook’s Formula Fostered Rage and Misinformation

 Originally published in The Washington Post, Oct 26, 2021.   Facebook engineers gave extra value to emoji reactions, including ‘angry,’ pushing more emotional and provocative content into users’ news feeds. Five years ago, Facebook gave its users five new ways to react to a post in their news feed beyond the iconic “like” thumbs-up: “love,” “haha,”

The First Rule of Machine Learning: Start without Machine Learning

 Originally published in Eugeneyan. Applying machine learning effectively is tricky. You need data. You need a robust pipeline to support your data flows. And most of all, you need high-quality labels. As a result, most of the...

Minority Voices ‘Filtered’ Out of Google Natural Language Processing Models

 Originally published in United AI, Sept 24, 2021. According to new research, one of the largest Natural Language Processing (NLP) datasets available has been extensively ‘filtered’ to remove black and Hispanic authors, as well as material related to gay...

Microsoft Predicts Weather for Individual Farms

 Originally published in IEEE Spectrum, Oct 4, 2021. Imagine you’re a farmer in the northern United States. It’s early spring, and nighttime temperatures are just starting to rise above freezing. You need to fertilize your newly-planted crops,...

Efficient and Targeted COVID-19 Border Testing Via Reinforcement Learning

 Originally published in Nature, Sept 22, 2021. Throughout the COVID-19 pandemic, countries relied on a variety of ad-hoc border control protocols to allow for non-essential travel while safeguarding public health: from quarantining all travellers to restricting entry...

Deep Learning’s Diminishing Returns

 Originally published in IEEE Spectrum, Sept 24, 2021. Deep Learning is now being used to translate between languages, predict how proteins fold, analyze medical scans, and play games as complex as Go, to name just a few applications of a technique...

There’s a Multibillion-Dollar Market for Your Phone’s Location Data

 Originally published in The Markup, Sept 30, 2021.  A huge but little-known industry has cropped up around monetizing people’s movements. Companies that you likely have never heard of are hawking access to the location history on your...

The Pandemic is Testing the Limits of Face Recognition

 Originally published in MIT Technology Review, Sept 28, 2021. Government use of face ID systems exploded during the pandemic—but tying it to critical services has left some people locked out at the moment they needed help the...

How Machine Learning Gave Australia An Edge in the Tokyo Pool

 Originally published in The Sydney Morning Herald, Aug 12, 2021. When Cate Campbell touched the wall ahead of American Abbey Weitzeil in the final leg of the women’s medley relay in Tokyo, it signified the end of...

Twitter AI Bias Contest Shows Beauty Filters Hoodwink the Algorithm

 Originally published in CNET.com, Aug 9, 2021. The service’s algorithm for cropping photos favors people with slimmer, younger faces and lighter skin. A researcher at Switzerland’s EPFL technical university won a $3,500 prize for determining that a...

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