Fairness: Types of Bias  |  Machine Learning Crash Course

By Google Developers - 2020-10-23

Description

It is important to get familiar with the types of #bias in #MachineLearning #data to have a better model and application Here you learn about the bias with examples

Summary

  • Types of Bias Estimated Time: Engineers train models by feeding them a data set of training examples, and human involvement in the provision and curation of this data can make a model's predictions susceptible to bias.
  • A model is trained to predict future sales of a new product based on phone surveys conducted with a sample of consumers who bought the product.

 

Topics

  1. Backend (0.25)
  2. Database (0.14)
  3. NLP (0.11)

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