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Hear from AWS Machine Learning Summit speakers
The event is over, but Amazon Science interviewed each of the six speakers within the Science of Machine Learning track. See what they had to say.Read More
3 questions with George Karypis: Making learning from data embedded in graphs easy and scalable
Karypis is a featured speaker at the first virtual Amazon Web Services Machine Learning Summit on June 2.Read More
What kind of data scientist should you be?
Amazon’s Daliana Liu helps others in the field chart their own paths.Read More
Predicting answers to product questions using similar products
A new method predicts with high accuracy the answer to a product question, based on knowledge from similar products.Read More
Ten university teams selected to participate in Alexa Prize TaskBot Challenge
Teams from three continents will compete to develop agents that assist customers in completing multi-step tasks.Read More
3 questions with Kathleen McKeown: Controlling model hallucinations in natural language generation
McKeown is a featured speaker at the first virtual Amazon Web Services Machine Learning Summit on June 2.Read More
AWS releases code to help reduce bias in machine learning models
Open-source library enables optimization of hyperparameters to maximize performance while meeting fairness constraints.Read More