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Trusted AI
  • Fair and Explainable AI
  • Cloud Environment Setup
  • Part 1: Remove Unfair Bias in Machine Learning
  • Part 2: Explain Machine Learning Models
  • Part 3: Build a machine learning model and monitor the performance, bias and drift
  • Additional Resources
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On this page
  • Documentation
  • Learn more
  • Contact me

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Additional Resources

Documentation

  • AI fairness 360

    • GitHub

    • Demo

    • API documentation

  • AI explainability 360

    • GitHub

    • Demo

    • API documentation

Learn more

At our UK meetup group where we host weekly workshops

From our developer site where you can find tutorials, code examples, articles and more

At our CODE@THINK event on 7 October

Or through these resources (more will be added):

  • Data analysis with Python

  • Machine learning for developers

  • Interpretable Machine Learning

Contact me

  • On twitter

  • On linkedIn

PreviousPart 3: Build a machine learning model and monitor the performance, bias and drift

Last updated 4 years ago

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