Kumo AI and Relational Deep Learning - Automating Feature Engineering

Explore the world of Relational Deep Learning (RDL) and its impact on automating feature engineering in this 43-minute Data Brew episode featuring Jure Leskovec, Co-founder of Kumo AI and Professor of Computer Science at Stanford University. Discover how RDL enhances predictive modeling and its applications in fraud detection and recommendation systems. Learn about the use of graph neural networks to simplify complex data structures. Gain insights into the latest advancements in AI and machine learning from a leading expert in the field. Connect with Jure Leskovec through his LinkedIn, Twitter, and Stanford University profiles, and explore additional resources at the Stanford RelBench website for a deeper understanding of relational deep learning techniques and benchmarks.

Kumo AI & Relational Deep Learning | Data Brew | Episode 34