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