Managing Machine Learning Projects with Google Cloud

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Last updated on December 23, 2024 9:12 am

Discover how non-technical professionals can lead machine learning projects. Learn to translate business problems into ML use cases and propose custom solutions to your team. Gain confidence in implementing ML without technical jargon.

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Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.

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    Managing Machine Learning Projects with Google Cloud
    Managing Machine Learning Projects with Google Cloud
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