DS 420 Data Science Techniques II: 3 semester hours
This course will be an introduction to deep learning with artificial neural networks. The course will focus on applications and computations with software such as Python/R but will have significant mathematical content. Issues of appropriate uses, un/interpretability, and ethics in data will be considered in the context of employing neural network models. Topics may include single and multi-layer perceptrons, feedforward networks, recurrent neural networks, convolutional neural networks, and corresponding mathematical foundations. Prerequisite: DS 400.