Machine Learning Engineering

Catalog description

Provides students with advanced concepts required to design, build and manage the lifecycle of machine learning based software. Covers the latest research topics in different areas of machine learning pipeline such as data engineering, cross dataset analysis, feature engineering, transfer learning, challenges in measurement, planned experimentation to evaluate machine learning outcomes and continuous monitoring for model assessment and improvement. Recommended: Background knowledge equivalent to CSE 4301: Introduction to AI