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Derisking Machine Learning

Posted Sep 19
# Derisking
# Business Metrics
# Minimum Viable Model
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SPEAKER
Eduardo Bonet
Eduardo Bonet
Eduardo Bonet
Staff Incubation Engineer - MLOps @ GitLab

Eduardo is a proud generalist who worked previously as Android Developer, Decision Scientist, and Machine Learning Engineer.

Currently, Eduardo is exploring how to add value for Machine Learning Engineers and Data Scientists on GitLab.

+ Read More

Eduardo is a proud generalist who worked previously as Android Developer, Decision Scientist, and Machine Learning Engineer.

Currently, Eduardo is exploring how to add value for Machine Learning Engineers and Data Scientists on GitLab.

+ Read More
SUMMARY

Using Machine Learning to solve a problem is expensive, both in terms of talent necessary, time, and infrastructure.

Creating a project that fails during or at delivery becomes costly, so what can we do to understand whether we should even think about using ML?

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