Konfío: Continuous Delivery process for Machine Learning Models [SPANISH]
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Опубликовано 12 июня 2018, 20:12
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AWS Summit Mexico City 2018 - Startup Talks: By building a Continuous Delivery process predictive models can be improved incrementally by adding new data (observations), new features, or adjusting parameters. By using this methodology our models can be retrained as soon as new observations are available or new data is collected.
AWS Summit Mexico City 2018 - Startup Talks: By building a Continuous Delivery process predictive models can be improved incrementally by adding new data (observations), new features, or adjusting parameters. By using this methodology our models can be retrained as soon as new observations are available or new data is collected.
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