January 2023
Intermediate to advanced
218 pages
4h 46m
English
Content preview from Deep Learning and XAI Techniques for Anomaly Detection
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8
Model-Agnostic versus Model-Specific Explainability
Creating a machine learning (ML) model for high-stake decisions requires considerations for accuracy and interpretability throughout the ML life cycle. In healthcare, physicians must provide vital information to educate patients on the potential risks and benefits of a medical procedure, treatment, or clinical trial through an informed consent process.
Similarly, when artificial intelligence (AI) is incorporated into the medical diagnosis process, physicians must be able to clarify important ML model-related information to derive a prediction, including the type of input data and training process.
With such a diverse landscape of explainable artificial intelligence (XAI) methods, you might ...
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