California State University, Los Angeles 3 credits EE
Computational modeling based on neural signals and systems. Includes models commonly used in machine learning, such as artificial neural networks, Bayesian classifiers, and regression models, and their applications to biomedical problems. Covers the basic principles applied in machine learning methods and implementation using modern programming tools such as Python and TensorFlow. Prerequisite: Admission to the Electrical Engineering, M.S. MS program. Needs Permission to Enroll: No [3]
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