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Validating Machine Learning Systems For Safety Critical Applications With Ketryx

AI Engineering Podcast

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Validating Machine Learning Systems for Safety-Critical Applications

This chapter discusses various approaches to validate machine learning systems for safety-critical applications, the challenges of understanding model decisions, the importance of monitoring and measuring changes over time, the management of change and model evolution, the parallels between the DevOps movement and validation, and the challenges of designing and verifying machine learning systems.

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