DiscoverAdventures in Machine LearningFrom Open Source to Traditional ML with James Lamb - ML 138
From Open Source to Traditional ML with James Lamb - ML 138

From Open Source to Traditional ML with James Lamb - ML 138

Update: 2024-01-04
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James Lamb is a senior software engineer at NVIDIA. They delve into the world of open-source contributions and the impact of traditional machine learning on the modern economy. James shares his journey of becoming a maintainer of renowned open-source projects while offering valuable insights into the benefits and motivations behind contributing to the community.Join them as they explore the significance of human review in the PR process, the value of automated feedback, and the importance of maintaining a positive and inclusive environment for contributors in open-source projects.
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From Open Source to Traditional ML with James Lamb - ML 138

From Open Source to Traditional ML with James Lamb - ML 138

Charles M Wood