769: Generative AI for Medicine, with Prof. Zack Lipton
Super Data Science: ML & AI Podcast with Jon Krohn
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Approximately Correct Machine Intelligence Lab and Real-World Challenges in Machine Learning
The chapter explores the essence of the Approximately Correct Machine Intelligence Lab and its relevance to the approximate nature of machine learning. It delves into the discrepancies between academic pursuits in machine learning and practical implementation, emphasizing the importance of addressing distribution shift problems and ethical considerations. The conversation also touches on the parallels between mastering complexity in jazz music and navigating challenges in machine learning, underlining the significance of humility and real-world understanding in creating AI models.
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