Probabilistic Machine Learning
Exploring the intersection of probabilistic machine learning and healthcare, Irene emphasizes the importance of understanding uncertainty estimates and data distributions. She advocates for a nuanced view of probabilities, moving beyond binary outcomes to incorporate concepts of fairness and complexity in data interpretation.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479
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