From Open Source to Traditional ML with James Lamb - ML 138
Adventures in Machine Learning
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Contributing to Open Source Projects: Motivations and Experiences
The chapter explores the speaker's journey of contributing to open source projects, starting with small contributions to a mentor's R package and eventually becoming a maintainer for LightGBM. They discuss the differences in code sanitization, design, and readability between open source and closed source projects. The speakers also share how working in open source has influenced their coding skills, caution with code complexity, and communication style.
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