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

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.

Connect with Jure Leskovec:

[LaurentPrat-yjnd]

Would it be true to say that the real magic is in generating the combinaison of the possible "Sentences" based on all the data available.- could be BIG :)

[Wppsamsung]

@22:00 isn't the problem with this experiment...you already had the data scientist analyse and feature the data so not a fair test to get them to do it again...of course it will be quicker the second time after analysing it the first time, it would be 20 times quicker if they just built the same thing again too