University of Delaware 3 credits ELEG
Engineering Machine Learning Systems are applied in an array of real-world applications. Topics covered include unsupervised and supervised learning, regression, classification, dimensionality reduction, regulation, neural networks, convolution neural networks, recurrent neural networks, attention, transformers, and select additional deep learning topics. This course focuses on their conceptualization, computational implementation, and optimization. Restrictions: Basic probability theory, discrete math, simple calculus, linear algebra (preferred), and programming experience, particularly in Python, or equivalents.
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