Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
A Refresher on Continuous Versus Discrete Input Variables
 How many times have I heard that the most...
Podcast: Why Deep Learning Could Expedite the Next AI Winter
  Welcome to the next episode of The Machine Learning...
PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
 In anticipation of his upcoming presentation at Deep Learning...

Predictive Analytics

An Interview with Bill Franks on Creating and Delivering an Effective Data-Driven Presentation

 With his newest book release, Winning The Room: Creating and Delivering an Effective Data-Driven Presentation, we asked Bill Franks a few questions about what led to his writing the book and what the book is about. Bill will also present on this work at Predictive Analytics World for Business Las Vegas, 2022. Q: What is

Russia Uses A.I. to Spread Disinformation About Invasion on Ukraine

 Originally published in Marca, Feb 3, 2022. For over a decade, Russia has been at the forefront of disinformation farms that spread all over the world. Their main goal is to destabilize countries and meddle with election processes...

Paradise Lost: Art Created by AI Is Ineligible for Copyright Protection

 Originally published in JDSupra, March 3, 2022. The US Copyright Office Review Board (“Board”) rejected a request to register a computer-generated image of a landscape for copyright protection, explaining that a work must be created by a...

Good News About the Carbon Footprint of Machine Learning Training

 Originally published in Google AI Blog, Feb 15, 2022. Machine learning (ML) has become prominent in information technology, which has led some to raise concerns about the associated rise in the costs of computation, primarily the carbon footprint,...

Podcast: Survey Results Show that Models Are Rarely Deployed – a Failure in Machine Learning Leadership

  Welcome to the very first episode of Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Models Are Rarely Deployed – an...

AI Hype: the Good, the Bad, and the Ugly

 The Good: American economist Robert Shiller wrote of economic bubbles in his best-selling book, Irrational Exuberance. Shiller illuminates “why it is so difficult for smart money to profit by betting against bubbles.” He writes that “psychological contagion promotes a...

Models Are Rarely Deployed – an Industrywide Failure in ML Leadership (Poll Results)

  Originally published in KDnuggets. The latest KDnuggets poll reconfirms today’s dire industry buzz: Very few machine learning models actually get deployed. In this article, I’ll summarize the poll results and argue that this pervasive failure of...

Sharing Learnings From the First Algorithmic Bias Bounty Challenge

 Originally posted on Twitter Engineering, Sept 21, 2021. In October 2020, people on Twitter raised concerns that the saliency model we used to crop images didn’t serve all people equitably. Shortly thereafter, we published our algorithmic bias assessment which...

Book Review: AI Can’t Come “First”

  A note from Executive Editor Eric Siegel: In this book review, Rich Heimann concludes that the concept of “AI First” only perpetuates the fallacy of AI as a single solution, not to mention continuing the hype...

Video – Career Paths in Analytics and Data Science and Analytics Team Building

 Event: Machine Learning Week 2021 Keynote: Career Paths in Analytics and Data Science and Analytics Team Building Speaker: Meghan Anzelc, Head of Data & Analytics, Spencer Stuart Bio:  Meghan Anzelc Head of Data & Analytics Meghan joined Spencer Stuart in...

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