Reliable Machine Learning

This course emphasizes the importance of building reliable machine learning systems. It covers software testing basics applied to the ML domain to enhance the quality of ML applications. The curriculum includes different testing methodologies like unit and integration testing, as well as more advanced techniques designed for machine learning such as behavioral and smoke testing.