Machine Learning in Astronomy
Joshua shares his journey into machine learning, highlighting how it transformed the analysis of astronomical data. He discusses the creation of a "real bogus detector" that significantly reduced the time needed for data evaluation, emphasizing the ongoing importance of human oversight even in a machine-assisted workflow. The evolution of techniques from random forests to modern deep learning showcases the rapid advancements in the field.In this clip
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