Northwestern University 1 credit Biomedical Engineering
Supervised learning tasks such as regression and classification, Convolutional Neural Networks and image analysis techniques and hidden Markov models, unsupervised learning approaches such as clustering and dimensionality reduction will be applied to both structured (numerical) and image data. All models will be implemented in Python, either from scratch or using high-level libraries. Prerequisites: BMD_ENG 220-0, GEN_ENG 205-1, MATH 220-1, MATH 220-2, or is a BME MS or PhD Student.
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