Agenda:
Proposed approval of as Software Laboratory
ECE 364 “Programming Methods for Machine Learning“
Focuses on auto-differentiation tools like PyTorch used with basic machine learning algorithms (linear regression, logistic regression, deep nets, k-means clustering), and extensions in custom methods to fit specific needs. Auto-differentiation tools are essential for data analysis and a solid understanding is increasingly important in many disciplines. In contrast to existing courses which focus on algorithmic and theoretical aspects of Machine Learning, the focus here is on implementation with auto-diff tools. Course Information: Prerequisite: MATH 257.
General Discussion on the ECE Curriculum
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