Students learn automated pattern detection approaches focused on unsupervised and supervised learning, feature engineering, classification, regression and neural networks. Model development is completed using Python and PyTorch. Credits: 4
Students learn automated pattern detection approaches focused on unsupervised and supervised learning, feature engineering, classification, regression and neural networks. Model development is completed using Python and PyTorch. Credits: 4
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