Google Cloud Datalab和Google Cloud AI Platform Notebooks有什么区别? [英] What is the difference between google cloud datalab and google cloud ai platform notebooks?

问题描述

我正在寻找建立端到端机器学习管道并评估数据探索组件选项的最佳方法.

I'm looking into the best way to set up an end-to-end machine learning pipeline, and evaluating the data exploration component options.

我正在尝试找出Google Cloud Datalab和Google Cloud AI平台笔记本之间的区别.它们似乎都提供相似的功能，因此不确定它们为什么存在，或者一个是否是另一个的新迭代.

I'm trying to figure out the difference between google cloud datalab, and google cloud ai platform notebooks. They both seem to offer similar functionality, so not sure why they both exist, or whether one is a new iteration of the other.

如果它们不同，那么一个人比另一个人有什么好处?

If they are different, what is the benefit of one over the other?

推荐答案

Google Cloud AI Platform Notebooks实际上是Google Cloud Datalab的升级版，并为您带来了好处，例如可以直接在浏览器中使用笔记本而无需进行设置首先是ssh隧道(数据实验室会强迫您这样做).

Google Cloud AI Platform Notebooks is effectively the upgraded version of Google Cloud Datalab and gives you benefits like being able to use the notebook directly in your browser without having to setup an ssh tunnel first (which datalab forces you to do).

如果您要创建一个新笔记本，那么您100％希望使用AI平台笔记本

If you're creating a new notebook, you 100% want to go with AI Platform Notebooks

(此外，不推荐使用Datalab)

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