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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 Read More Google for Developers
