Jupyter Notebook-Centric Development (Cloud Next '19)




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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 → https://bit.ly/2K5D3f0

Watch more:
Next ’19 ML & AI Sessions here → https://bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

Subscribe to the G Suite Channel → https://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;

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Comment List

  • Google Workspace
    November 23, 2020

    I run the script exactly the way, you have shown in video in 22:18 and I do not see the icon. Do you have any idea why?

  • Google Workspace
    November 23, 2020

    #deeper learning #AL

  • Google Workspace
    November 23, 2020

    very impressive talk, Slava, when we can await new videos about Java on your channel?

  • Google Workspace
    November 23, 2020

    Does this replace Datalab? Also, Can I not use Tensorflow or Pytorch and just use Scikit-Learn?

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