[21] Michela Paganini - Machine Learning Solutions for High Energy Physics
The Thesis Review
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Bridging Physics and Machine Learning
This chapter explores the differences in understanding between deep neural networks and particle physics, emphasizing the mature framework of the standard model in contrast to the evolving nature of machine learning. It highlights the motivations behind research in both fields and personal journeys in academia, particularly how a physics background can inform contributions to machine learning.
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