Practical Machine Learning

Catalog description

The class addresses the challenge of designing well-performing Machine Learning (ML) pipelines, including their hyperparameters, architectures of deep Neural Networks, and pre-processing. Future ML developers will learn how to use and design automated approaches for determining such ML pipelines efficiently. Dual Listed COSC 4557