without bias
11bias — /bayas/ Inclination; bent; prepossession; a preconceived opinion; a predisposition to decide a cause or an issue in a certain way, which does not leave the mind perfectly open to conviction. To incline to one side. Condition of mind, which sways… …
12Len Bias — Fiche d’identité Nom complet Leonard Kevin Bias Nationalité États Unis N …
13Media bias in the United States — Journalism News · Writing style Ethics · Objectivity Values · …
14Confirmation bias — (also called confirmatory bias or myside bias) is a tendency for people to favor information that confirms their preconceptions or hypotheses regardless of whether the information is true.[Note 1][1] As a result, people gather evidence and recall …
15Len Bias — Infobox NBA Player nickname = caption = Bias after being selected in the 1986 NBA Draft. position = Forward height ft = 6 height in = 8 weight lb = 210 nationality = USA birth date = birth date|1963|11|18 birth place = Landover, Maryland death… …
16Doctrine of bias in Singapore law — A depiction of Lady Justice on the tympanum of the Old Supreme Court Building Bias is one of the grounds of judicial review in Singapore. If actual bias on the part of a judge or tribunal can be proved by a party to a legal proceeding, or on the… …
17Data-snooping bias — In statistics, data snooping bias is a form of statistical bias generated by the misuse of data mining techniques which can lead to bogus results in scientific research. Although data snooping biases can occur in any field that uses data mining,… …
18Media bias — Part of a series on Censorship By media …
19Ascertainment bias — In scientific research, ascertainment bias occurs when false results are produced by non random sampling and conclusions made about an entire group are based on a distorted or nontypical sample. If this is not accounted for, results can be… …
20Inductive bias — The inductive bias of a learning algorithm is the set of assumptions that the learner uses to predict outputs given inputs that it has not encountered (Mitchell, 1980).In machine learning, one aims to construct algorithms that are able to learn… …
