Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...

data analytics

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 of the story — you also need to use it. Predictions don’t help unless you do something about

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...

Inside Netflix’s Quest to End Scrolling – How the Company is Working to Solve One of its Biggest Threats: Decision Fatigue.

 Originally published in Vulture, April 28, 2021.  Ten years ago, Netflix got the idea that its app should work more like regular TV. This was early on in its transition from DVD delivery to streaming on demand,...

Clustergam: Visualisation of Cluster Analysis

 Originally published in MARTIN FLEISCHMANN, April 27, 2021. When we want to do some cluster analysis to identify groups in our data, we often use algorithms like K-Means, which require the specification of a number of clusters....

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...

Hot Video: The Accuracy Fallacy – Bogus Machine Learning Results

 Check out this topical video from Predictive Analytics World founder Eric Siegel: Can AI “tell” if you’re gay? When machine learning practitioners claim their model achieves “high accuracy,” it’s often bogus. This video reveals the undeniable yet...

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...

Combatting Fraud: AI and CB (Chatbots) to the Rescue

 Have you ever looked at your credit card statement, and wondered what a particular charge was all about? “Hey, I didn’t buy that?”, is a common reaction. Or, how about that text message alerting you to some...

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