Deep Learning and the Relational Algebra

Explore the intersection of deep learning and relational algebra in this 32-minute lecture by Zack Ives from the University of Pennsylvania. Delve into the growing role of machine learning inference in query processing, from training models over database views to making predictions on data streams. Examine the potential benefits of extending relational algebra with tensor operations, autograd, and other deep learning dataflow primitives. Gain insights from early, work-in-progress experiences in addressing this emerging field of study. Learn how the integration of machine learning and database technologies is reshaping query evaluation and data processing paradigms.

Deep Learning and the Relational Algebra