Machine Learning Bias
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
179 topics found for
“machine understanding”
Empirical Rule
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
Data Distribution
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
Representativeness
Representativeness is a heuristic in decision-making where individuals judge the probability of an event based on how much it resembles a typical case.
Anchoring
Anchoring (also known as Focalism) is a cognitive bias where individuals rely heavily on the first piece of information (the "anchor") when making decisions.
Allais Paradox
A decision-making paradox that shows people's preferences can violate the expected utility theory, highlighting irrational behavior.
5V’s of Big Data
Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value.
Indexing
The process by which search engines organize and store web content to facilitate fast and accurate information retrieval.
Sentiment Analysis
The use of natural language processing to identify and extract subjective information from text, determining the sentiment expressed.