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基于AWS的数据科学实践
book

基于AWS的数据科学实践

by Chris Fregly, Antje Barth
September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
China Electric Power Press Ltd.
Content preview from 基于AWS的数据科学实践
基于
AWS
的数据科学概述
|
15
1.2.6 TensorFlow Extended
TensorFlow Extended
(
TFX
)是一个在像
AWS Step Functions
、
Kubeflow
流水线、
Apache Airflow
或
MLflow
等流水线编排工具中使用的开源
Python
库集合。
TFX
只
能用于
TensorFlow
并依赖于另一个开源项目
Apache Beam
以在多个处理节点上扩
展。我们会在第
10
章了解更多关于
TFX
的详情。
1.2.7
人机回圈(
Human-in-the-Loop
)工作流
尽管
AI
和机器学习服务让我们的生活变得更容易,但是人类还远没有到被淘汰的
时候。事实上,“人机回圈”的概念作为很多
AI/ML
工作流的一个重要基石出现了。
人类为运行于生产环境的敏感、受监管的模型提供了重要的质量保证。
Amazon Augmented AI
(
Amazon A2I
)是一个用于开发人机回圈工作流的托管服务,
包括一个简洁的用户界面、通过
AWS Identity and Access Management
(
IAM
)实现
的基于角色的访问控制,且通过
S3
实现的可扩展的数据存储。
Amazon A2I
可以与
很多
Amazon
的服务进行集成,包括用于内容审查的
Amazon Rekognition
和抽取表
单数据的
Amazon Textract
。我们也可以将
Amazon A2I
与
Amazon Sagemaker
及任
何自定义
ML
模型一同使用。我们将在第
10
章更详细地讲述人机回圈工作流。
1.3
机器学习运维最佳实践 ...
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Publisher Resources

ISBN: 9787519869663