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

LinkedIn’s Job-Matching AI Was Biased. The Company’s Solution? More AI

 Originally published in MIT Technology Review, June 23, 2021. ZipRecruiter, CareerBuilder, LinkedIn—most of the world’s biggest job search sites use AI to match people with job openings. But the algorithms don’t always play fair. Years ago, LinkedIn discovered that the recommendation algorithms it uses to match job candidates with opportunities were producing biased results. The

South Florida Cops Used Facial Recognition in ‘Horrifying’ Scheme to Target Peaceful Protesters: Newspaper

 Originally published in Raw Story, June 26, 2021. During the George Floyd protests in South Florida, facial-recognition technology was deployed to identify protesters — who had committed no crimes – by the Broward County sheriff, and the...

8 Lessons from 20 Years of Hype Cycles

 Originally published in LinkedIn, Dec 7, 2016 As a VC at Icon Ventures and a twenty year veteran of productizing and marketing high tech for VMware, Netscape and others, I’ve always been fascinated by how new technologies...

Do Wide and Deep Networks Learn the Same Things?

 Originally published in Google AI Blog, May 4, 2021. A common practice to improve a neural network’s performance and tailor it to available computational resources is to adjust the architecture depth and width. Indeed, popular families of neural...

Remote-Control Robots and the Limits of AI

 Originally published in Wired.com, April 7, 2021. A growing number of robots are operated remotely, often by workers thousands of miles away. Could it be a job of the future? David Tejeda helps deliver food and drinks to...

Sharing Learnings About Our Image Cropping Algorithm

 In October 2020, we heard feedback from people on Twitter that our image cropping algorithm didn’t serve all people equitably. As part of our commitment to address this issue, we also shared that we’d analyze our model again for bias. Over the last...

The Four Most Common Fallacies About AI

 Originally published in VentureBeat, May 8, 2021. The history of artificial intelligence has been marked by repeated cycles of extreme optimism and promise followed by disillusionment and disappointment. Today’s AI systems can perform complicated tasks in a wide range of areas, such...

How Image Search Works at Dropbox

 Originally posted in Dropbox.tech, May 11, 2021 Photos are among the most common types of files in Dropbox, but searching for them by filename is even less productive than it is for text-based files.  When you’re looking...

Inside Netflix’s Quest to End Scrolling – How the Company is Working to Solve One of its Biggest Threats: Decision Fatigue.

 Originally published in Vulture, April 28, 2021.  Ten years ago, Netflix got the idea that its app should work more like regular TV. This was early on in its transition from DVD delivery to streaming on demand,...

Clustergam: Visualisation of Cluster Analysis

 Originally published in MARTIN FLEISCHMANN, April 27, 2021. When we want to do some cluster analysis to identify groups in our data, we often use algorithms like K-Means, which require the specification of a number of clusters....

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