Academy and Foundation unixmens | Your skills, Your future

If you’ve ever struggled with manual, inconsistent, or expensive machine learning (ML) workflows (or if you'd love to have a formalized workflow at all), you’re not alone! Many teams hit roadblocks when trying to automate, scale, or manage their ML pipelines—especially as projects grow, scope creeps, and requirements inevitably change.Red Hat OpenShift AI now brings a set of updates to data science pipelines, making it easier than ever to control and optimize your ML processes. These improvements aren’t just about new features, they’re also about helping you optimize resource consump

via Red Hat Blog https://ift.tt/pORgl9i

Redhat

What’s new with data science pipelines in Red Hat OpenShift AI

Supercharge your machine learning workflows with Red Hat OpenShift AI's updates to data science pipelines. Learn how to automate, optimize, and manage your ML processes with a visual pipeline builder, flexible resource limits, and more.

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144 viewsSep 2 at 16:29

If you’ve ever struggled with manual, inconsistent, or expensive machine learning (ML) workflows (or if you'd love to have a formalized workflow at all), you’re not alone! Many teams hit roadblocks when trying to automate, scale, or manage their ML pipelines—especially as projects grow, scope creeps, and requirements inevitably change.Red Hat OpenShift AI now brings a set of updates to data science pipelines, making it easier than ever to control and optimize your ML processes. These improvements aren’t just about new features, they’re also about helping you optimize resource consump

via Red Hat Blog https://ift.tt/pORgl9i

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