September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
Content preview from 基于AWS的数据科学实践
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基于
AWS
的数据科学概述
｜
27
S3
、
Athena
、
Amazon Redshift
和
AWS Lake Formation
在内的不同数据源读取数据。
与
AWS DataBrew
相似，
SageMaker Data Wrangler
拥有预先配置的数据转换用于
转换列类型、进行独热（
one-hot
）编码以及处理文本值。
SageMaker Data Wrangler
通过
Apache Spark
支持用户定义的函数并可以生成包括
Python
脚本和
SageMaker
Processing Jobs
在内的代码。
SageMaker Processing Jobs
让我们能够运行自定义的数据处理代码来对
S3
上的数
据进行数据转换、数据校验或模型评估。在配置
SageMaker Processing Job
时，我
们定义所需的资源，包括实例类型和数量。
SageMaker
使用我们的自定义代码从
Amazon S3
复制数据并拉取
Docker
容器来执行处理步骤。
SageMaker
提供借助
Apache Spark
和
scikit-learn
运行数据处理的预构建容器镜像。
我们也可以按需要提供自定义的容器镜像。
SageMaker
为任务运行期间创建指定
的所有集群资源并在任务完成后销毁它们。处理结果将会在任务运行结束时写回
Amazon S3
存储桶。
1.6
使用
Amazon SageMaker
训练和调试模型
让我们来更详细地讨论模型开发工作流中的模型训练和调试阶段并了解我们可以利
用哪些
AWS
服务和开源工具。
1.6.1
使用
SageMaker ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.