Machine Learning Times
Machine Learning Times
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data analytics

Coursera’s “Machine Learning for Everyone” Fulfills Unmet Training Requirements

  My new course series on Coursera, Machine Learning for Everyone (free access), fulfills two different kinds of unmet learner needs. It’s a conceptually-complete, end-to-end course series – its three courses amount to the equivalent of a college or graduate-level course – that covers both the technology side and the business side. While fully accessible

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...

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...

Looking at Measurement and How We Evaluate the Impact of Reinforcement Learning Over Traditional Predictive Analytics

 Are we really at a new stage of so-called industrial development much like how the car replaced the horse and buggy as the main mode of consumer transportation? This would appear to be the case by some...

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