Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
 Isn’t it satisfying to find a tool that makes...
Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
A Refresher on Continuous Versus Discrete Input Variables
 How many times have I heard that the most...

Industry News

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 list of recommendations. Working within the time budget introduces an extra resource constraint for the recommender system. It

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...

Ten Mistakes to Avoid When Creating a Recommendation System

 Originally published in Medium.com, July 27, 2022.  We’ve been long working on improving the user experience in UGC products with machine learning. Here are our ten key lessons of implementing recommendation systems in business to build a...

Supercharging A/B Testing at Uber

 Originally published in Uber Engineering, July 21, 2022. Introduction “Immensely laborious calculations on inferior data may increase the yield from 95 to 100 percent. A gain of 5 percent, of perhaps a small total. A competent overhauling...

Machine Learning for Snapchat Ad Ranking

 Originally published in Snapchat Engineering, July 11, 2022. Snapchat ad ranking aims to serve the right ad to the right user at the right time.  These are selected from millions of ads in our inventory at any...

Is Data Scientist Still the Sexiest Job of the 21st Century?

 Originally published in Harvard Business Review, July 15, 2022.  Ten years ago we published the article “Data Scientist: Sexiest Job of the 21st Century.” Most casual readers probably remember only the “sexiest” modifier — a comment on their...

Could Machine Learning Fuel a Reproducibility Crisis in Science?

 Originally published in Nature, July 26, 2022.   ‘Data leakage’ threatens the reliability of machine-learning use across disciplines, researchers warn. From biomedicine to political sciences, researchers increasingly use machine learning as a tool to make predictions on the...

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