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Building reproducible machine learning in production (Ep. 96)

EPISODE · Feb 22, 2020 · 14 MIN

Building reproducible machine learning in production (Ep. 96)

from Data Science at Home · host Francesco Gadaleta <frag>

Building reproducible models is essential for all those scenarios in which the lead developer is collaborating with other team members. Reproducibility in machine learning shall not be an art, rather it should be achieved via a methodical approach. In this episode I give a few suggestions about how to make your ML models reproducible and keep your workflow as smooth.Enjoy the show!Come visit us on our discord channel and have a chat This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceathome.substack.com

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Building reproducible machine learning in production (Ep. 96)

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