## Covariance

Covariance is a measure of how two variables change together. It is calculated as the variance of the product of the two variables divided by the product of their standard deviations.

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## Covariance

## Continuous Variable

## Computational Linguistics

## Coefficient

## chi-square test

## Confusion Matrix

## Cross Validation

## Confidence Interval

## Clustering

## Classification

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Covariance is a measure of how two variables change together. It is calculated as the variance of the product of the two variables divided by the product of their standard deviations.

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A continuous variable is a mathematical construct that can take on any value within a given range. In contrast, discrete variables can only take on specific, discrete values. Continuous variables are important…

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Computational linguistics is the application of artificial intelligence and machine learning techniques to natural language processing tasks. It encompasses areas such as parsing, machine translation, and text …

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A coefficient is a number that measures how much one variable changes when another variable changes.

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The Chi-square Test is a statistical hypothesis test used to determine the significance of the difference between the observed and expected values of a given data set. The chi-square statistic is used to …

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Confusion Matrix: A confusion matrix is a table that is used to summarize the performance of a classification algorithm. The table shows how many times each class was predicted by the algorithm and …

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Cross Validation: Cross validation is a technique used in data science to improve the accuracy of predictions. It works by splitting the data into two sets, a training set and a testing set. The training set is …

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Confidence Interval: A range of values that is calculated based on sample statistics and is used to measure how accurate a prediction made by a model is likely to be.

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Clustering: Clustering is a technique used in data science to group similar items together. This can be useful for organizing data and understanding relationships between different groups of data.

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Classification: The task of classification is to take a set of observations and assign one of a pre-determined number of classes to each observation. Classification is a technique used in data science to …