ML Ops on Google Cloud | Demo
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67 дней – 1 2425:28Опубликовано 26 мая 2021, 18:11
Learn how to build production ML workflows that are scalable, serverless, and reproducible; and support monitoring, continuous training, artifact management, collaboration, and more.
Resources:
Vertex Pipelines → goo.gle/3vZcg7j
Introduction to Pipelines using the KFP SDK → goo.gle/3o66huA
Speaker: Amy Unruh
Watch more:
Google Cloud Tech at Google I/O 2021 Playlist → goo.gle/io21-gcloudtech
All Google I/O 2021 Demos → goo.gle/io21-alldemos
All Google I/O 2021 Sessions → goo.gle/io21-allsessions
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
#GoogleIO #Cloud #ML/AI #OpenSource
product: Cloud - Serverless Computing - Workflows; event: Google I/O 2021; fullname: Amy Unruh; re_ty: Unlisted;
Resources:
Vertex Pipelines → goo.gle/3vZcg7j
Introduction to Pipelines using the KFP SDK → goo.gle/3o66huA
Speaker: Amy Unruh
Watch more:
Google Cloud Tech at Google I/O 2021 Playlist → goo.gle/io21-gcloudtech
All Google I/O 2021 Demos → goo.gle/io21-alldemos
All Google I/O 2021 Sessions → goo.gle/io21-allsessions
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
#GoogleIO #Cloud #ML/AI #OpenSource
product: Cloud - Serverless Computing - Workflows; event: Google I/O 2021; fullname: Amy Unruh; re_ty: Unlisted;
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