Dexa/Machine Learning Street Talk (MLST)

Testing Deep Learning Models

Jordan discusses the importance of testing deep learning models and the need for expert systems to ensure models perform as expected in production. He emphasizes the significance of semantic understanding of data for effective adversarial testing and the potential growth of test data for machine learning applications.

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Machine Learning Street Talk (MLST)
Jordan Edwards: ML Engineering and DevOps on AzureML
Related Questions
- Tell me something about testing as a tool in the context of the episode "Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76" and the clip "Testing Insights."