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Nov 23, 2024
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Goucher College 2019-2020 Undergraduate Catalogue PLEASE NOTE: This is an archived catalog. Programs are subject to change each academic year.
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DMC 435 - Machine Learning II (4 Cr.) (GCR DA-AC)
A deeper look at the theory and practice of machine learning. This course will develop the theoretical foundations of classical machine learning as well as deep learning. Topics from deep learning will include Convolutional Networks, Deep Neural Networks, Recurrent Networks, Autoencoders, and Optimization Techniques. Topics from classical machine learning will include support vector machines, hidden Markov models and a theoretical treatment of algorithms addressed in DMC 345 . Prerequisites: C- or above in DMC 321 and DMC 345 . Offered spring semester of even years. Brody, Webster.
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