Google for Developers | Machine Learning Crash Course: Fairness @GoogleDevelopers | Uploaded September 2024 | Updated October 2024, 1 week ago.
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
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
