Data Engineering for AI

Catalog description

The class covers the foundational principles and practices of Data Engineering for AI and techniques to improve datasets for better performance in practical machine learning applications. The course balances the general principles with hands-on experiences in working with modern data stacks and supervised learning algorithms. Sections will cover data pipelines to ingest, organize, store, and transform data to deliver value to organizations, and processes and algorithms to find and fix common issues in training datasets.