Explainable AI — Topic Summaries
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Lecture 10: ML Testing & Explainability (Full Stack Deep Learning - Spring 2021)
Machine-learning systems fail in ways that offline test scores can’t fully predict, so teams need a broader testing mindset: validate not just a...
AI Improves Cancer Detection by 28% Through Helpful Bias
A large-scale breast cancer screening study in Sweden suggests AI can improve detection by “helpfully biasing” the human reader—highlighting...
Using Case-Based Reasoning to Predict Marathon Performance and Recommend Tailored Training Plans
Marathon training advice is often one-size-fits-all, even though runners’ fitness, effort patterns, and goals vary widely. A case-based reasoning...