Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
MLW Preview Video: Dean Abbott, President at Abbott Analytics
 In anticipation of his upcoming pre-conference workshop and presentations...
MLW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
 In anticipation of his upcoming presentation at Predictive Analytics...
Wise Practitioner – Machine Learning Week Interview: Mack Wallace, Head of Financial Products at MPOWER Financing
 In anticipation of his upcoming presentation at Predictive Analytics...
Wise Practitioner – Machine Learning Week Interview: Alejandro Jesús Castañeira Rodriguez, Principal Data Scientist at JANZZ Ltd.
 In anticipation of his upcoming presentation at Predictive Analytics...

data analytics

JPMorgan Chase Uses a ChatGPT AI-Like Model to Decipher Trading Signals

 Originally published in Interesting Engineering, April 28, 2023. The AI model analyzed speeches from the U.S. Federal Reserve from the past 25 years to determine the nature of policy signals and gain a trading advantage. Analysts at JPMorgan Chase & Co. have used a ChatGPT-based artificial intelligence (AI) model to analyze statements and speeches from

What’s Behind the Recommendation?

 Yes, we’ve all heard the slogan, “get the right product to the right person at the right time.” While practitioners have varied thoughts on how to attain this objective, there does exist, at least one tactic, that...

Building Airbnb Categories with ML & Human in the Loop

 Originally published in Medium.com/Airbnb Tech Blog, March 22, 2023. Airbnb 2022 release introduced Categories, a browse focused product that allows the user to seek inspiration by browsing collections of homes revolving around a common theme, such as Lakefront, Countryside,...

A New Approach to Computation Reimagines Artificial Intelligence

 Originally published in QuantaMagazine, April 13, 2023. Despite the wild success of ChatGPT and other large language models, the artificial neural networks (ANNs) that underpin these systems might be on the wrong track. For one, ANNs are...

The Tech Behind Artifact, the Newly Launched News Aggregator From Instagram’s Co-Founders

 Originally published in TechCrunch, March 7, 2023.  Late last month, Artifact, a personalized news reader built by Instagram’s co-founders, opened to the public. The launch was a surprise to many consumers, who wondered why the team behind one of the world’s most...

ML in the Spotlight: Trailblazers with Walter Isaacson Covers Predictive Analytics

 Predictive analytics got another public spotlight and Machine Learning Times Executive Editor Eric Siegel made the cut. Listen to his appearances on Walter Isaacson’s (“Steve Jobs” and “The Innovators”) podcast. Podcast: Trailblazers with Walter Isaacson. The program has over...

ChapGPT Doesn’t “Know” But It Can Tell

  Polanyi’s paradox, named in honor of the philosopher and polymath Michael Polanyi, states, “we know more than we can tell.” He means that most of our knowledge is tacit and cannot be easily formalized with...

Blueprints for Recommender System Architectures: 10th Anniversary Edition

 Originally published in Amatriain, Jan 29, 2023. Ten years ago, we published a post in the Netflix tech blog explaining our three-tier architectural approach to building recommender systems (see below). A lot has happened in the last 10 years...

Unleashing ML Innovation at Spotify with Ray

 Originally published in Spotify R&D Engineering, Feb 1, 2023. Introduction As the field of machine learning (ML) continues to evolve and its impact on society and various aspects of our lives grows, it is becoming increasingly important...

Massive Traffic Experiment Pits Machine Learning Against ‘Phantom’ Jams

 Originally published in Berkeley News, Nov 22, 2022. Many traffic jams are caused by human behavior: a slight tap on the brakes can ripple through a line of cars, triggering a slowdown — or complete gridlock —...

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