Welcome to responsible AI with Amazon SageMaker - Amazon SageMaker教程

内容

• Introduction Introduction

  • Welcome to responsible AI with Amazon SageMaker

    52 秒
• 1. Detecting Bias in Models 1. Detecting Bias in Models

  • Understanding bias in machine learning

    4 分钟 48 秒
  • (已锁定)
    Exploring SageMaker Clarify for bias detection

    4 分钟 4 秒
  • (已锁定)
    Evaluating bias in pretraining data

    4 分钟 18 秒
  • (已锁定)
    Detecting bias in post-training and production

    2 分钟 5 秒
  • (已锁定)
    Challenge: Identify bias in data

    56 秒
  • (已锁定)
    Solution: Identify bias in data

    5 分钟 31 秒
• 2. Explaining and Evaluating Models 2. Explaining and Evaluating Models

  • Understanding explainability in AI

    3 分钟 27 秒
  • (已锁定)
    Use SageMaker Clarify for model explainability

    3 分钟 55 秒
  • (已锁定)
    Interpret model predictions

    2 分钟 49 秒
  • (已锁定)
    Evaluate foundation models

    5 分钟 21 秒
  • (已锁定)
    Challenge: Explain a model's predictions

    46 秒
  • (已锁定)
    Solution: Explain a model's predictions

    11 分钟 8 秒
• 3. Integrating Explainability with Workflows 3. Integrating Explainability with Workflows

  • (已锁定)
    Integrate SageMaker Clarify with Autopilot

    3 分钟 50 秒
  • (已锁定)
    Analyze model predictions

    4 分钟 47 秒
  • (已锁定)
    Understand machine learning (ML) governance

    3 分钟 7 秒
  • (已锁定)
    Manage model permissions

    3 分钟 53 秒
  • (已锁定)
    Centralize model monitoring

    3 分钟 52 秒
  • (已锁定)
    Challenge: Analyze model predictions using Autopilot

    39 秒
  • (已锁定)
    Solution: Analyze model predictions using Autopilot

    8 分钟 26 秒
• Conclusion Conclusion

  • (已锁定)
    Your responsible AI journey

    1 分钟 57 秒