Ludwig, a Code-Free Deep Learning Toolbox
Language
English
Level
Non technical / For everyone
Length
33 minutes
Type
online conference
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About
AI/Machine Learning • November 2020
Ludwig, a Code-Free Deep Learning Toolbox
The talk will introduce Ludwig, a deep learning toolbox that allows to train models and to use them for prediction without the need to write code. It is unique in its ability to help make deep learning easier to understand for non-experts 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. We will also discuss recent improvements to Ludwig, including Auto
About speaker
Piero Molino
Staff Research ScientistStanford University
Piero Molino is a Staff Research Scientist at Stanford University working on Machine Learning systems and algorithms. Piero completed a PhD at the University of Bari, Italy. He worked for Yahoo Labs in Barcelona on learning to rank, IBM Watson in New York on natural language processing with deep learning and then joined Geometric Intelligence, where he worked on grounded language understanding. After Uber acquired Geometric Intelligence, he became one of the founding members of Uber AI Labs where he worked on research ad applied ML projects. He is the author of Ludwig.
Details
Language
English
Level
Non technical / For everyone
Length
33 minutes
Type
online conference
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