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Science Daily2y
Building explainability into the components of machine-learning models
Explanation methods that help users understand and trust machine-learning models often describe how much certain features used in the model contribute ... and focus on explainability after the ...
Digit3y
Machine-learning explainability: Black-box models
As a result, MIT researchers developed a mathematical framework for formally quantifying and evaluating the understandability of machine-learning model explanations. This can assist in identifying ...
Hosted on MSN8mon
Boost Machine Learning Trust With HEX's Human-in-the-Loop Explainability
HEX tailors machine learning explanations ... The proposed explainability methods (HEX-SC, HEX-DC, SC, and DC) were compared to two model-agnostic methods, Local interpretable model-agnostic ...
datanami.com4y
AWS Adds Explainability to SageMaker
Amazon Web Services is adding an AI explainability reporting feature to its SageMaker machine learning model builder aimed at improving model accuracy. SageMaker Autopilot now generates a model ...
Business Insider3y
Fiddler Raises $32 Million in Series B Funding as it leads the market of Machine Learning Explainability and Performance Management
June 17, 2021 /PRNewswire/ -- Fiddler AI announced it has raised $32 million in Series B funding to give teams everywhere access to Fiddler's Model ... to deploy machine learning (ML) models ...