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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    If the Word2vec model has not encountered a particular word before, it will be forced to use a random vector, which is generally far from its ideal representation. This can particularly be an issue in domains like medicine where synonyms and related words can be used depending on the preferred style of radiologist, and words may have been used ...

  3. Comma-separated values - Wikipedia

    en.wikipedia.org/wiki/Comma-separated_values

    Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record.

  4. Group by (SQL) - Wikipedia

    en.wikipedia.org/wiki/Group_by_(SQL)

    A GROUP BY statement in SQL specifies that a SQL SELECT statement partitions result rows into groups, based on their values in one or several columns. Typically, grouping is used to apply some sort of aggregate function for each group.

  5. Generalized linear model - Wikipedia

    en.wikipedia.org/wiki/Generalized_linear_model

    In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression.The GLM generalizes linear regression by allowing the linear model to be related to the response variable via a link function and by allowing the magnitude of the variance of each measurement to be a function of its predicted value.

  6. Regression toward the mean - Wikipedia

    en.wikipedia.org/wiki/Regression_toward_the_mean

    Galton's experimental setup "Standard eugenics scheme of descent" – early application of Galton's insight [1]. In statistics, regression toward the mean (also called regression to the mean, reversion to the mean, and reversion to mediocrity) is the phenomenon where if one sample of a random variable is extreme, the next sampling of the same random variable is likely to be closer to its mean.

  7. Linear discriminant analysis - Wikipedia

    en.wikipedia.org/wiki/Linear_discriminant_analysis

    As an example, in a two dimensional problem, the line that best divides the two groups is perpendicular to . Generally, the data points to be discriminated are projected onto w → {\displaystyle {\vec {w}}} ; then the threshold that best separates the data is chosen from analysis of the one-dimensional distribution.

  8. Anemic domain model - Wikipedia

    en.wikipedia.org/wiki/Anemic_domain_model

    An anemic domain model would have one write code like the following (written in C#), which by itself does not implement any of the business concerns, in this case, that a height or a width cannot be zero or negative, or that somewhere else there is a requirement for the area of the rectangle. This means that those functionalities are ...

  9. Continuous or discrete variable - Wikipedia

    en.wikipedia.org/wiki/Continuous_or_discrete...

    In mathematics and statistics, a quantitative variable may be continuous or discrete if it is typically obtained by measuring or counting, respectively. [1] If it can take on two particular real values such that it can also take on all real values between them (including values that are arbitrarily or infinitesimally close together), the variable is continuous in that interval. [2]

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