Google for Work878 тыс
Опубликовано 11 апреля 2019, 1:52
Jupyter Notebook is a relatively new tool that does not have many best practices and processes built around it. In Google, we have developed a set of services that allows everyone to get the best of the world of software development (continuous integration, versioning, scheduled execution on cluster) and apply it to the Jupyter Notebook-centric development process. In this talk, we will showcase how Jupyter Notebook, without any changes, can be submitted for the “overnight” training or used with a continuous integration system to run periodic functional tests. We will also look at the best development practices for the team that is heavily utilizing notebooks.
Jupyter Notebook-Centric Development → bit.ly/2K5D3f0
Watch more:
Next '19 ML & AI Sessions here → bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions
Subscribe to the G Suite Channel → bit.ly/G-Suite1
Speaker(s): Viacheslav Kovalevskyi, Michael Cheng
Session ID: MLAI203
product:Cloud AI,Cloud ML Engine,AI,TensorFlow; fullname:Michael Cheng,Viacheslav Kovalevskyi; event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - General; fullname: Viacheslav Kovalevskyi, Michael Cheng; event: Google Cloud Next 2019;
Jupyter Notebook-Centric Development → bit.ly/2K5D3f0
Watch more:
Next '19 ML & AI Sessions here → bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions
Subscribe to the G Suite Channel → bit.ly/G-Suite1
Speaker(s): Viacheslav Kovalevskyi, Michael Cheng
Session ID: MLAI203
product:Cloud AI,Cloud ML Engine,AI,TensorFlow; fullname:Michael Cheng,Viacheslav Kovalevskyi; event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - General; fullname: Viacheslav Kovalevskyi, Michael Cheng; event: Google Cloud Next 2019;
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