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...

Machine Learning

Segmentation and RFM Analysis in the World of Wine and Spirits

 Segmentation is a hot word these days, and it should be. No matter your business, one direct way to increase revenue is better communication with sales prospects. And better communication is a direct result of the granularity afforded by segmentation. In Enolytics’ home-base industry of wine, we’ve seen revenue results skyrocket six times greater than

How Machine Learning Works – in 20 Seconds

  This transcript comes from the online course, Machine Learning Leadership and Practice – End-to-End Mastery. In 57 words, here’s why machine learning’s important: Business needs prediction. Prediction requires machine learning. And machine learning depends on data....

Seven Reasons Budding Data Scientists Need a Machine Learning Course That’s Not Hands-On

  From Coursera’s “Machine learning for Everyone” My new course series on Coursera, Machine Learning for Everyone (free access), is for any learner who wishes to participate in the business deployment of machine learning, no matter whether...

Can GPT-3 Make Analogies?

 Originally published in Medium, Aug 5, 2020. In the early 1980s, Douglas Hofstadter introduced the “Copycat” letter-string domain for analogy-making. Here are some sample analogy problems: If the string abc changes to the string abd, what does...

Dealing with Overconfidence in Neural Networks: Bayesian Approach

 Originally published in Jonathan Ramkissoon Blog, July 29, 2020. I trained a multi-class classifier on images of cats, dogs and wild animals and passed an image of myself, it’s 98% confident I’m a dog. The problem isn’t...

How Not to Know Ourselves

 Originally published in Medium, July 29, 2020. Platform data do not provide a direct window into human behavior. Rather, they are direct records of how we behave under platforms’ influence. Surfing a wave of societal awe and...

Here’s Why Apple Believes It’s An AI Leader—And Why It Says Critics Have It All Wrong

 Originally published in Ars Technica, Aug 6, 2020. Apple AI chief and ex-Googler John Giannandrea dives into the details with Ars. Machine learning (ML) and artificial intelligence (AI) now permeate nearly every feature on the iPhone, but...

On-device Supermarket Product Recognition

 Originally posted on Google AI Blog, Aug 11, 2020. One of the greatest challenges faced by users who are visually impaired is identifying packaged foods, both in a grocery store and also in their kitchen cupboard at...

Taming the Tail: Adventures in Improving AI Economics

 Originally published in a16z.com, Aug 12, 2020. AI has enormous potential to disrupt markets that have traditionally been out of reach for software. These markets – which have relied on humans to navigate natural language, images, and...

Facebook Showed This Ad Almost Exclusively to Women. Is That A Problem?

 Originally published in Vox.com, July 31, 2020. How Facebook decides which ads to display on your News Feed. In 2019, Facebook settled a lawsuit with civil rights organizations following the revelation that advertisers could use the targeting...

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