Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Video – Alexa On The Edge – A Case Study in Customer-Obsessed Research from Susanj of Amazon
 Event: Machine Learning Week 2021 Keynote: Alexa On The Edge...
Why AI Isn’t Going to Replace Data Scientists Any Time Soon
 Should data scientists consider AI a threat to their...
“Doing AI” Is a Mistake that Detracts from Real Problem-Solving
  A note from Executive Editor Eric Siegel: Richard...
Getting the Green Light for a Machine Learning Project
  This article is based on the transcript of...

data analytics

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 that I passed an inappropriate image, because models in the real world are passed all sorts of garbage.

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...

A Picture is Worth a Thousand Words: Correspondence Analysis

 Of all the analytic tools that are available to the researcher, perhaps cross tabulations are the most common. A crosstab is nothing more than a table showing the relationship between two or more variables. Where the table only shows...

Why Machine Learning is Central to Reverse Supply Chain 2.0

  E-commerce growth and a worldwide pandemic have brought to light the inefficiencies in the modern supply chain, especially the return process. The current return process is costly, inefficient, and wasteful. The following article explores how enabling...

97 Things About Ethics Everyone In Data Science Should Know

 Every now and then an opportunity comes along that you just can’t pass up. One such opportunity that fell into my lap was when O’Reilly media reached out to me to see if I was interested in...

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