Data Governance, Data Mining and Internet of Things

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

JANUARY 13, 2023

In recent years, this new learning paradigm has been successfully adopted to address the concern of data governance in training ML models. On the edge, the framework facilitates training and deployment of edge models to mobile phones and internet of things (IoT) devices. Iterative process of model training.

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The Age of Health Informatics: Part 1

Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

The Age of Health Informatics: Part 1

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