Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...

Industry News

Getting Tabular Data from Unstructured Text with GPT-3: An Ongoing Experiment

 Originally published by Roberto Rocha. One of the most exciting applications of AI in journalism is the creation of structured data from unstructured text. Government reports, legal documents, emails, memos… these are rich with content like names, organizations, dates, and prices. But to get them into a format that can be analyzed and counted, like

The Science Behind the New “Alexa, What Should I Watch?” Fire TV Experience

 Originally published in Amazon Science, Oct 6, 2022.  “What should I watch?” In an entertainment universe filled with a rapidly expanding catalog of shows across myriad channels and apps, this might be one of the most common...

The Science Behind NFL Next Gen Stats’ New Passing Metric

 Originally published in Amazon Science, Aug 26, 2022.  Spliced binned-Pareto distributions are flexible enough to handle symmetric, asymmetric, and multimodal distributions, offering a more consistent metric. When football fans evaluate a player’s performance, they measure the player’s...

State of Data Science 2022

 Originally published in Anaconda. This year, we conducted our State of Data Science survey to gather demographic information about our community, ascertain how that community works, and collect insights into big questions and trends that are top...

Productizing Large Language Models

 Originally posted on Replit.com, Sept 21, 2022.  Large Language Models (LLMs) are known for their near-magical ability to learn from very few examples — as little as zero — to create language wonders. LLMs can chat, write...

Reinforcement Learning for Budget Constrained Recommendations

 Originally published in Netflix TechBlog, Aug 15, 2022. Introduction This writeup is about using reinforcement learning to construct an optimal list of recommendations when the user has a finite time budget to make a decision from the...

AI And The Limits Of Language

 Originally published in Noema, Aug 23, 2022. When a Google engineer recently declared Google’s AI chatbot a person, pandemonium ensued. The chatbot, LaMDA, is a large language model (LLM) that is designed to predict the likely next...

Testing Firefox More Efficiently With Machine Learning

 Originally published in Mozilla Hacks, July 9, 2022. A browser is an incredibly complex piece of software. With such enormous complexity, the only way to maintain a rapid pace of development is through an extensive CI system that can...

Introducing Natural Language Search for Podcast Episodes

How The New York Times Uses Machine Learning To Make Its Paywall Smarter

 Originally published in NYT Open, Aug 10, 2022.   The New York Times launched its paywall in March 2011, beginning its journey as a subscription-first news and lifestyle service. Since its inception, this “metered” access service has been...

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