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AI, Engineering

Introducing Ludwig, a Code-Free Deep Learning Toolbox

February 11, 2019 / Global
Featured image for Introducing Ludwig, a Code-Free Deep Learning Toolbox
Figure 1: Several input and output features may be specified in Ludwig’s model description file, and their combination covers many machine learning tasks.
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Figure 2: These learning curves show loss and accuracy over training epochs.
Figure 3: This bar chart compares the performance of two models.
Piero Molino

Piero Molino

Piero is a Staff Research Scientist in the Hazy research group at Stanford University. He is a former founding member of Uber AI where he created Ludwig, worked on applied projects (COTA, Graph Learning for Uber Eats, Uber’s Dialogue System) and published research on NLP, Dialogue, Visualization, Graph Learning, Reinforcement Learning and Computer Vision.

Yaroslav Dudin

Yaroslav Dudin

Yaroslav Dudin is a senior software engineer on Uber's New Mobility Optimization team.

Sai Sumanth Miryala

Sai Sumanth Miryala

Sai Sumanth Miryala is a data scientist on Uber's Conversational AI team.

Posted by Piero Molino, Yaroslav Dudin, Sai Sumanth Miryala

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