Google Cloud Platform1.17 млн
Опубликовано 26 июля 2018, 1:01
This is an introductory session of the various ML services offered by Google Cloud. We talk about the various ways organizations can implement ML with GCP, the common challenges they may face and go into detail about the services we offer.
This talk will be great for technical leaders, software developers, data scientists or anyone else who wants to learn how organizations can implement ML today with Google Cloud.
We will provide product and technical details on ML API services for quickly bringing in ML to your applications, managed services that help you train your own ML models and a wide range of end-to-end services that many advanced customers use. In addition, we touch on how Google's infrastructure (GPU, TPU, Network and security) help with ML workloads on Google Cloud.
MLAI122
Event schedule → g.co/next18
Watch more Machine Learning & AI sessions here → bit.ly/2zGKfcg
Next ‘18 All Sessions playlist → bit.ly/Allsessions
Subscribe to the Google Cloud channel! → bit.ly/NextSub
re_ty: Publish; product: Cloud - General; fullname: Chris Kleban, Justin Lawyer; event: Google Cloud Next 2018;
This talk will be great for technical leaders, software developers, data scientists or anyone else who wants to learn how organizations can implement ML today with Google Cloud.
We will provide product and technical details on ML API services for quickly bringing in ML to your applications, managed services that help you train your own ML models and a wide range of end-to-end services that many advanced customers use. In addition, we touch on how Google's infrastructure (GPU, TPU, Network and security) help with ML workloads on Google Cloud.
MLAI122
Event schedule → g.co/next18
Watch more Machine Learning & AI sessions here → bit.ly/2zGKfcg
Next ‘18 All Sessions playlist → bit.ly/Allsessions
Subscribe to the Google Cloud channel! → bit.ly/NextSub
re_ty: Publish; product: Cloud - General; fullname: Chris Kleban, Justin Lawyer; event: Google Cloud Next 2018;
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