Remove 2014 Remove Internet of Things Remove ML
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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

It involves training a global machine learning (ML) model from distributed health data held locally at different sites. They were admitted to one of 335 units at 208 hospitals located throughout the US between 2014–2015. The eICU data is ideal for developing ML algorithms, decision support tools, and advancing clinical research.

AWS 101
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Behind the Chat: How E-commerce Robot Assistant AliMe Works

ML Review

Technology companies such as Google, Facebook, Microsoft, Amazon and Apple are at the forefront of personalized interactive products where intelligent human-computer interactions (IHCI) technology will continue to play a central role in automated messaging, task assistance and the Internet of Things. AAAI Press, 2014: 1586–1592.