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As Artificial Intelligence (AI) becomes increasingly integrated into critical decision-making processes, the need for transparency and accountability in AI models is essential. This course on Explainable AI (XAI) equips learners with a deep understanding of the methods and tools used to interpret and explain machine learning models. Participants will explore the importance of explainability in AI systems, especially in regulated sectors like healthcare, finance, and law, where understanding model decisions is vital. The course covers both model-specific and model-agnostic approaches to...
Joaquin Marques
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