Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
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Ludwig, a code-free deep learning toolbox

Piero Molino (Uber AI)
1:50pm–2:30pm Thursday, March 28, 2019
Data Science, Machine Learning & AI
 Location: 2007
Secondary topics:  Deep Learning, Transportation and Logistics
Average rating: ****.
(4.60, 5 ratings)

Level

Intermediate

What you'll learn

  • Explore Ludwig, a deep learning toolbox that allows you to train models and use them for prediction without writing any code

Description

Piero Molino offers an overview of Ludwig, a deep learning toolbox that allows you to train models and use them for prediction without the need to write code. It’s unique in its ability to help make deep learning easier to understand for nonexperts and enable faster model improvement iteration cycles for experienced machine learning developers and researchers alike. By using Ludwig, experts and researchers can simplify the prototyping process and streamline data processing so that they can focus on developing deep learning architectures.

Photo of Piero Molino

Piero Molino

Uber AI

Piero Molino is a senior research scientist at Uber AI, where he focuses on machine learning for language and dialogue. Previously, he founded QuestionCube, a startup that built a framework for semantic search and QA, and worked on learning to rank at Yahoo Labs in Barcelona, on natural language processing with deep learning at IBM Watson in New York, and on grounded language understanding at Geometric Intelligence (acquired by Uber). Piero holds a PhD on question answering from the University of Bari, Italy.