PHYS 664 - Machine Learning for Time Series Analysis

Credit(s): 3

MACHINE LEARNING
Component: Lecture
Application of machine learning methods to time series analysis of physics systems for causal inference and prediction. This class will review traditional methods and explore applications of machine learning to time series analysis, with examples drawn from research in various physical disciplines including astrophysics, biophysics, and complexity.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option

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