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| PHYS 887AF - Selected Machine Learning Topics in Physics |
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Machine Learning approaches to subatomic physics particle identification will be explored. The class expectations include comprehensive literature searches and essays. Hands-on projects will include processing simulated data towards detector and experimental optimization.
3.000 Credit hours 1.000 Lecture hours Levels: Graduate Schedule Types: Lecture, Independent Study Physics Department Restrictions: Must be enrolled in one of the following Levels: Graduate |
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