Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
Podcast: Why Deep Learning Could Expedite the Next AI Winter
  Welcome to the next episode of The Machine Learning...
PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
 In anticipation of his upcoming presentation at Deep Learning...

Industry News

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 really good product. 1. Define a Goal that Really Contributes to the Business Tasks The global task of

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...

Heinz Taps State-of-the-Art AI to Design Its Next Ad Campaign

 Originally published in AdWeek, Aug 1, 2022. The brand is one of the first to rely on OpenAI’s Dall-E 2 art generator. Heinz tapped an artificial intelligence-powered art generator to create a clever demonstration of the ubiquity...

Yann LeCun has a Bold New Vision For The Future of AI

 Originally published in MIT Technology Review, June 24, 2022.  One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers. Around...

How Microsoft and Google Use AI Red Teams to “Stress Test” Their Systems

 Originally published in Emerging Tech Brew, June 14, 2022.  Since 2019, some Big Tech firms have implemented AI red teams to reveal shortcomings, biases, and security flaws. It was a snowy day in February, and Amanda Minnich...

Open-Source Language AI Challenges Big Tech’s Models

 Originally published in Nature.com, June 22, 2022.  An international team of around 1,000 largely academic volunteers has tried to break big tech’s stranglehold on natural-language processing and reduce its harms. Trained with US$7-million-worth of publicly funded computing...

DALL·E 2, Explained: The Promise and Limitations of a Revolutionary AI

 Originally published in Towards Data Science, June 16, 2022. DALL·E 2 is the newest AI model by OpenAI. If you’ve seen some of its creations and think they’re amazing, keep reading to understand why you’re totally right...

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