Bias (machine learning)

An intercept or offset from an origin. Bias is a parameter in machine learning models, which is symbolized by either of the following:

• $b$
• $w_0$

For example, bias is the $b$ in the following formula:

$$y' = b + w_1 x_1 + w_2 x_2 + \cdots + w_n x_n$$

In a simple two-dimensional line, bias just means “y-intercept.”¹

Footnotes

1. developers.google.com/machine-learning/glossary#bias ↩