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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88
｜
第
3
章
学习经验探索不同的算法和配置。
SageMaker Autopilot
比较不同的回归、分类和深
度学习算法来寻找适合我们数据集和问题类型的最佳算法。
SageMaker Autopilot
依据候选模型自动生成一系列
Jupyter Notebook
和
Python
脚本。
我们对这些生成的
notebook
和脚本拥有完全访问。我们可以修改、自动化并与同事
分享它们。我们可以基于我们对模型准确度、模型大小和预测延迟的平衡，选择最
合适的候选模型。
3.1
用
SageMaker Autopilot
实现自动化机器学习
我们通过将原始数据以
CSV
文件形式保存在
S3
存储桶来配置
SageMaker Autopilot
任务。我们也需要告诉
SageMaker Autopilot
将哪些列作为目标。之后，
SageMaker
Autopilot
使用自动化机器学习技术来分析数据、识别最佳算法并生成最优候选模型。
SageMaker Autopilot
分析并权衡数据集，其将数据集分为训练集和验证集。基于我
们尝试预测的目标属性，
SageMaker Autopilot
自动识别机器学习问题的类别，如回
归、二元分类或多类分类。
SageMaker Autopilot
其后依据问题类别比较一系列算法。
可选择的算法有逻辑回归、线性回归、
XGBoost
、神经网络以及更多。
SageMaker Autopilot
生成代码来为每个算法执行若干个模型流水线。生成的代码包
括数据转换、模型训练和模型调整。由于
SageMaker Autopilot ...
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and much more.
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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.