The tendency to search for, interpret, favor, and [recall] information in a way that confirms one’s preexisting beliefs or hypotheses. Machine learning developers may inadvertently collect or label data in ways that influence an outcome supporting their existing beliefs. Confirmation bias is a form of [implicit bias](recall] information in a way that confirms one’s preexisting beliefs or hypotheses. Machine learning developers may inadvertently collect or label data in ways that influence an outcome supporting their existing beliefs. Confirmation bias is a form of [implicit bias.md).
Experimenter’s bias is a form of confirmation bias in which an experimenter continues training models until a preexisting hypothesis is confirmed.
convenience sampling
Using a dataset not gathered scientifically in order to run quick experiments. Later on, it’s essential to switch to a scientifically gathered dataset
convex optimization
The process of using mathematical techniques such as gradient descent to find the minimum of a convex function. A great deal of research in machine learning has focused on formulating various problems as convex optimization problems and in solving those problems more efficiently.