Fairness  |  Machine Learning Crash Course

 By Google Developers - 2020-10-23

Description

Check this #video to learn about #bias in #MachineLearning and #data

Summary

  • Fairness Become aware of common human biases that can inadvertently be reproduced by ML algorithms.
  • Proactively explore data to identify sources of bias before training a model Evaluate model predictions for bias Evaluating a machine learning model responsibly requires doing more than just calculating loss metrics.
  • This module looks at different types of human biases that can manifest in training data.

 

Topics

  1. Backend (0.26)
  2. Machine_Learning (0.16)
  3. Database (0.11)

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