DiscoverData Brew by DatabricksKumo AI & Relational Deep Learning | Data Brew | Episode 34
Kumo AI & Relational Deep Learning | Data Brew | Episode 34

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

Update: 2024-10-14
Share

Description

In this episode, Jure Leskovec, Co-founder of Kumo AI and Professor of Computer Science at Stanford University, discusses Relational Deep Learning (RDL) and its role in automating feature engineering. 

Highlights include:
- How RDL enhances predictive modeling.
- Applications in fraud detection and recommendation systems.
- The use of graph neural networks to simplify complex data structures.

Comments 
loading
00:00
00:00
1.0x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

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

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

Databricks