Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

data analytics

GitHub’s AI-Powered Coding Chatbot Is Now Available For Individuals

 Originally published in The Verge, Sept 20, 2023. Microsoft-owned GitHub is rolling out its AI-powered coding chatbot to more people. The company launched its Copilot Chat tool in public beta for business users in July, and on Wednesday, GitHub announced that it’s available in public beta for GitHub Copilot individual users in Visual Studio and Visual Studio Code.

Machines of Loving Understanding

 Originally published in Pete Warden’s Blog, Nov 11, 2022. I like to think (it has to be!) of a cybernetic ecology where we are free of our labors and joined back to nature, returned to our mammal...

JPMorgan Chase Uses a ChatGPT AI-Like Model to Decipher Trading Signals

 Originally published in Interesting Engineering, April 28, 2023. The AI model analyzed speeches from the U.S. Federal Reserve from the past 25 years to determine the nature of policy signals and gain a trading advantage. Analysts at...

What’s Behind the Recommendation?

 Yes, we’ve all heard the slogan, “get the right product to the right person at the right time.” While practitioners have varied thoughts on how to attain this objective, there does exist, at least one tactic, that...

Building Airbnb Categories with ML & Human in the Loop

 Originally published in Medium.com/Airbnb Tech Blog, March 22, 2023. Airbnb 2022 release introduced Categories, a browse focused product that allows the user to seek inspiration by browsing collections of homes revolving around a common theme, such as Lakefront, Countryside,...

A New Approach to Computation Reimagines Artificial Intelligence

 Originally published in QuantaMagazine, April 13, 2023. Despite the wild success of ChatGPT and other large language models, the artificial neural networks (ANNs) that underpin these systems might be on the wrong track. For one, ANNs are...

The Tech Behind Artifact, the Newly Launched News Aggregator From Instagram’s Co-Founders

 Originally published in TechCrunch, March 7, 2023.  Late last month, Artifact, a personalized news reader built by Instagram’s co-founders, opened to the public. The launch was a surprise to many consumers, who wondered why the team behind one of the world’s most...

ML in the Spotlight: Trailblazers with Walter Isaacson Covers Predictive Analytics

 Predictive analytics got another public spotlight and Machine Learning Times Executive Editor Eric Siegel made the cut. Listen to his appearances on Walter Isaacson’s (“Steve Jobs” and “The Innovators”) podcast. Podcast: Trailblazers with Walter Isaacson. The program has over...

ChapGPT Doesn’t “Know” But It Can Tell

  Polanyi’s paradox, named in honor of the philosopher and polymath Michael Polanyi, states, “we know more than we can tell.” He means that most of our knowledge is tacit and cannot be easily formalized with...

Blueprints for Recommender System Architectures: 10th Anniversary Edition

 Originally published in Amatriain, Jan 29, 2023. Ten years ago, we published a post in the Netflix tech blog explaining our three-tier architectural approach to building recommender systems (see below). A lot has happened in the last 10 years...

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