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Creating R projects that are easily shared across teams or even just across machines can be a challenge. Missing dependencies, incorrect package versions, and many other issues can plague you when attempting to share your work. Thankfully, tools like Docker and renv can be used in combination to ensure that every person who has access to your project can focus on the problem your code is trying to solve, not the environment. Brandon will share some lessons learned while addressing reproducibility problems in production machine learning systems at Red Ventures.

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