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...

Industry News

The Biggest Bottleneck for Large Language Model Startups is UX

 Originally published in Innovation Endeavors, Nov 1, 2022.  Applied large language model startups have exploded in the past year. Enormous advances in underlying language modeling technology, coupled with the early success of products like Github CoPilot, have led to a huge array of founders using LLMs to rethink workflows ranging from code reviews to copywriting to analyzing unstructured product feedback.

AI and Machine Learning Enter the Kitchen at Chipotle

 Originally published in QSR Magazine, Sept 27, 2022. Chipotle’s next era of technology has begun to take shape inside restaurants, with a central focus on optimization. On Tuesday, the fast casual announced it’s piloting multiple technologies to...

AI-Generated Imagery is the New Clip Art as Microsoft Adds DALL-E to its Office Suite

 Originally published in The Verge, Oct 12, 2022.  Microsoft is adding AI-generated art to its suite of Office software with a new app named Microsoft Designer. The app functions the same way as AI text-to-image models like DALL-E...

Microsoft Open Sources Its ‘Farm of the Future’ Toolkit

 Originally published in The AI Blog, Oct 6, 2022.  FARMINGTON, Wash. – The gently rolling hills here in eastern Washington have long grown rich harvests of wheat, barley and lentils. Fifth-generation farmer Andrew Nelson is adding a...

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,...

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...

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