Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
The AI Playbook: Providing Important Reminders to Data Professionals
 Originally published in DATAVERSITY. This article reviews the new...
Decode the Algorithm: Navigate the World of Machine Learning in Business with ‘The AI ​​Playbook’
  This article reviews the new book, The AI Playbook, by...
To Deploy Machine Learning, You Must Manage Operational Change—Here Is How UPS Got It Right
 Originally published in Harvard Data Science Review. For more...

Predictive Analytics

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 new bumper crop to that bounty: Data. He gathers it from sensors in the soil, drones in the

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...

Visualizing Decision Trees with Pybaobabdt

 Originally published in Towards Data Science, Dec 14, 2021. An open-source package for decision tree visualization and model interpretation.   Data visualization is the language of decision-making. Good charts effectively convey information. Great charts enable, inform, and...

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...

Page 6 of 52 1 2 3 4 5 6 7 8 9 10 11 52