课程: Responsible AI with Amazon SageMaker AI
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Manage model permissions - Amazon SageMaker教程
课程: Responsible AI with Amazon SageMaker AI
Manage model permissions
- [Instructor] Imagine handing the keys to a high tech factory to every employee, engineers, accountants, even the intern. Chaos, right? The same applies to machine learning models. Without proper permissions, anyone could access, modify, or even misuse your models. Managing who can access, modify, or deploy a model in any organization is critical for maintaining security, compliance and operational integrity. If permissions aren't carefully managed, unauthorized users might modify the model, access sensitive data, or even expose it to vulnerabilities. Managing permissions effectively isn't just about protecting the model. It's about protecting your organization, data and customers. SageMaker Role Manager makes this process straightforward by providing a centralized way to create and manage roles with the principle of least privilege. Let's walk through how to set that up now. First, access the SageMaker AI dashboard, that's where I am, and navigate here on the left-hand side to Role…
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内容
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Integrate SageMaker Clarify with Autopilot3 分钟 50 秒
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Analyze model predictions4 分钟 47 秒
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Understand machine learning (ML) governance3 分钟 7 秒
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Manage model permissions3 分钟 53 秒
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Centralize model monitoring3 分钟 52 秒
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Challenge: Analyze model predictions using Autopilot39 秒
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Solution: Analyze model predictions using Autopilot8 分钟 26 秒
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