The term ‘bias’ is used in many ways in Machine Learning, and I think this leads to a lot of people talking past each other. Examples of how the term is used: Bias/variance trade-off Bias as in weights and biases Algorithmic bias: Bias in the sense of a result that doesn’t accurately reflect the real world (e.g. due to a poorly chosen training data set) possibly related to cognitive biases of programmers
Bias in Machine Learning
Bias in Machine Learning
Bias in Machine Learning
The term ‘bias’ is used in many ways in Machine Learning, and I think this leads to a lot of people talking past each other. Examples of how the term is used: Bias/variance trade-off Bias as in weights and biases Algorithmic bias: Bias in the sense of a result that doesn’t accurately reflect the real world (e.g. due to a poorly chosen training data set) possibly related to cognitive biases of programmers