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BLOG Anomaly Detection in Qeexo AutoML
Qeexo AutoML supports three one-class classification algorithms widely used for anomaly/outlier detection; Isolation Forest, Local Outlier Factor, and One-class Support Vector Machine. These algorithms build models by learning from only one class of...
Dr. Karanpreet Singh and Dr. Rajen Bhatt 15 July 2020 -
PRESS Qeexo Takes Misery Out of EdgeML
Startup Takes a Dose of its Own Medicine
Electronic Engineering Journal 14 July 2020 -
PRESS Qeexo AutoML Now Hosted on AWS, Adds Algorithm Support
The latest release of Qeexo AutoML makes the automated TinyML model development and deployment platform available as a web application hosted on Amazon Web Services (AWS).
Embedded Computing 16 June 2020 -
PRESS Qeexo Takes ‘TinyML’ to AWS Cloud
"Qeexo, the Carnegie Mellon University spinoff, is expanding public cloud access to its automated machine learning platform as it pushes its no-code “TinyML” approach to the network edge."
Enterprise AI -
PRESS AutoML Mentioned in insideBIGDATA Latest News 6/12
Qeexo Announces General Availability of the Qeexo AutoML Platform to Enable TinyML for Edge Devices
InsideBIGDATA 15 June 2020 -
PRESS Qeexo Announces General Availability of the Qeexo AutoML Platform to Enable TinyML for Edge Devices
Qeexo, developer of an automated machine learning (ML) platform that accelerates the deployment of TinyML at the edge/endpoint, announced today the general availability of its Qeexo AutoML platform on Amazon Web Services (AWS).
Qeexo, Co. 08 June 2020