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a16z Podcast: Breaking Into Bio

a16z Podcast

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Navigating Data Challenges in Machine Learning for Biology

This chapter examines the progression of machine learning in biology and health, addressing past challenges related to data limitations and recent advancements in dataset availability. It stresses the importance of understanding domain-specific data to optimize model performance and warns against unrealistic expectations regarding machine learning capabilities.

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