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Machine Learning Crash Course: Fairness

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Learn principles and best practices for auditing ML models for fairness, including strategies for identifying and mitigating biases in data.

When evaluating a machine learning model's predictions, sometimes great overall performance doesn't tell the whole story.

In this Machine Learning Crash Course video, you'll explore a scenario where fairness considerations are uncovered during model evaluation.

Learn more about machine learning fairness in Machine Learning Crash Course: https://goo.gle/3WWS1aH

#machine_learning #ml #fairness

Speaker: Zynara Ng
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Project
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Google, developers
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