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...

Predictive Analytics

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 tables at a small restaurant in Dallas. And another in Sonoma County, California. Sometimes he lends a hand

Liftoff: The Basics of Predictive Model Deployment

  This article is based on the transcript of one of 142 videos in Eric Siegel’s online course, Machine Learning Leadership and Practice – End-to-End Mastery. Developing a good predictive model with machine learning isn’t the end...

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...

Aiming for truth, fairness, and equity in your company’s use of AI

 Originally published in FTC, April 19, 2021: Advances in artificial intelligence (AI) technology promise to revolutionize our approach to medicine, finance, business operations, media, and more. But research has highlighted how apparently “neutral” technology can produce troubling...

Moving Beyond “Algorithmic Bias is a Data Problem”

 Originally published in Patterns, April 9, 2021. A surprisingly sticky belief is that a machine learning model merely reflects existing algorithmic bias in the dataset and does not itself contribute to harm. Why, despite clear evidence to the...

Hot Video: More Accuracy Fallacies – Predicting Criminality and Psychosis

 Check out this topical video from Predictive Analytics World founder Eric Siegel: Can AI “tell” if you’re a criminal? Or whether you’ll develop psychosis? These are perfect examples of the accuracy fallacy, which misleads the public into...

The Precondition for Machine Learning Success: Bridge the Quant/Business Culture Gap

  Over the last few years, I poured thousands of working hours and 25 years of consulting and teaching experience into making the online course Machine Learning Leadership and Practice – End-to-End Mastery. Why? I developed this...

Can Artificial Intelligence Combat Wildfires? Sonoma County Tests New Technology

 Originally published in Los Angeles Times, March 19, 2021. Sonoma County is adding artificial intelligence to its wildfire-fighting arsenal. The county has entered into an agreement with the South Korean firm Alchera to outfit its network of...

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