Machine Learning Crash Course: Fairness

Estimated read time 1 min read

Post Content

​ 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 

You May Also Like

More From Author