Tecton
timezone
+00:00 GMT
SIGN IN
  • Home
  • Events
  • Content
  • Help
Sign In
Sign in or Join the community to continue

Declarative Machine Learning Systems: Ludwig & Predibase

Posted Apr 12
# Data engineering
# Open Source
# Systems and Architecture
Share
SPEAKERS
Travis Addair
Travis Addair
Travis Addair
Co-Founder & CTO @ Predibase

Travis Addair is co-founder and CTO of Predibase, a data-oriented low-code machine learning platform. Within the Linux Foundation, he serves as lead maintainer for the Horovod distributed deep learning framework and is a co-maintainer of the Ludwig automated deep learning framework. In the past, he led Uber’s deep learning training team as part of the Michelangelo machine learning platform.

+ Read More

Travis Addair is co-founder and CTO of Predibase, a data-oriented low-code machine learning platform. Within the Linux Foundation, he serves as lead maintainer for the Horovod distributed deep learning framework and is a co-maintainer of the Ludwig automated deep learning framework. In the past, he led Uber’s deep learning training team as part of the Michelangelo machine learning platform.

+ Read More
Piero Molino
Piero Molino
Piero Molino
Co-Founder & CEO @ Predibase

Piero Molino, PhD is CEO and co-founder of Predibase, a company redefining machine learning tooling. He previously worked as a research scientist exploring machine learning and natural language processing at Stanford University, Uber AI, Geometric Intelligence, IBM Watson and Yahoo!. He is the author of Ludwig, a Linux-Foundation-backed open source declarative deep learning framework.

+ Read More

Piero Molino, PhD is CEO and co-founder of Predibase, a company redefining machine learning tooling. He previously worked as a research scientist exploring machine learning and natural language processing at Stanford University, Uber AI, Geometric Intelligence, IBM Watson and Yahoo!. He is the author of Ludwig, a Linux-Foundation-backed open source declarative deep learning framework.

+ Read More
SUMMARY

Declarative Machine Learning Systems are a new trend that marries the flexibility of DIY machine learning infrastructure and the simplicity of AutoML solutions. In this talk we will discuss about Ludwig, the open source declarative deep learning framework, and Predibase, an enterprise grade solution based on it.

+ Read More

Watch More

15
Posted Apr 12 | Views 30
# Data engineering
# Organization and Processes
# Production Use Case
# Systems and Architecture
30
Posted Apr 12 | Views 22
# Data engineering
# Explainability and Observability
# Feature Stores
# Research
# Systems and Architecture