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- Dictionarybias/ˈbʌɪəs/
noun
- 1. inclination or prejudice for or against one person or group, especially in a way considered to be unfair: "there was evidence of bias against foreign applicants" Similar Opposite
- 2. a systematic distortion of a statistical result due to a factor not allowed for in its derivation.
verb
- 1. cause to feel or show inclination or prejudice for or against someone or something: "the search results are biased by the specific queries used"
- 2. distort (a statistical result); introduce bias into (a method of sampling, measurement, analysis, etc.).
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1 day ago · Cognitive bias is a term that describes why our responses to judgment-based and decision-based problems can be flawed. Our responses follow patterns that are systematic and nonrandom, but which are also flawed. As a result, they often go against probability or logic because they are based on our experiences and beliefs.
2 days ago · This module focuses on perspective, i.e. our particular attitude towards or way of regarding something, and bias, i.e. our tendency to be subjective when we weigh a situation or judge something. Our background, our experiences, and our unconscious mind may lead us to perceive the same situation differently from others.
- Unit 5-Perspectives and biases
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4 days ago · Bias is a disproportionate weight in favor of or against an idea or thing, usually in a way that is closed-minded , prejudicial, or unfair. Biases can be innate or learned. People may develop biases for or against an individual, a group, or a belief. In science and engineering, a bias is a systematic error .
4 days ago · They can also introduce errors, bias, and irrational decision-making. As in the examples above, heuristics can lead to inaccurate judgments about how commonly things occur and how representative certain things may be.
3 days ago · Inductive bias is a fundamental concept in machine learning that shapes how algorithms learn and generalize from data. It serves as a guiding principle that influences the selection of hypotheses and the generalization of models to unseen data. Understanding the inductive bias of an algorithm is essential for model development, selection, and ...
5 days ago · Background or Overview Articles. Implicit Bias. Microaggressions/Microinequities. The Negative Impact of Racial Microaggressions on College Students of Color. Stereotype Threat. The Study of Microaggressive Behavior: Reflections on the Construct, Construct-Relevant Research, and Possible Future Research. Popular Source Articles.
5 days ago · Bias by Omission: leaving one side out of an article, or a series of articles over a period of time; ignoring facts that tend to disprove liberal or conservative claims, or that support liberal or conservative beliefs. Bias by Labeling: Bias by labeling comes in two forms.
