Confusion Matrix : A confusion matrix is a tool used in the evaluation of the performance of a classification algorithm. It is a table that displays the number of true positive, true negative, false positive, and false negative predictions made by the algorithm. For example, let’s say we have a classification algorithm that is trained […]

Confidence Interval : A confidence interval is a range of values that is calculated from a sample dataset and is used to estimate the population parameter. It provides a measure of how certain we can be that the true population value lies within the calculated range. For example, let’s say we want to estimate the […]

Conditional Probability : Conditional probability is the probability of an event occurring given that another event has already occurred. For example, let’s say we have a bag with 10 red balls and 5 blue balls. The probability of picking a red ball from the bag without looking is 10/15 or 2/3. However, if we know […]

Concentration Matrix : A concentration matrix is a tool used to analyze the degree of concentration within a market or industry. It is typically used to identify the dominant players in the market and assess the level of competition. One example of a concentration matrix is the Herfindahl-Hirschman Index (HHI), which is commonly used in […]

Computer Vision : Computer vision is the field of artificial intelligence that focuses on the development of algorithms and technologies to enable machines to understand and interpret visual data from the world around them. This includes everything from recognizing and classifying objects in images and videos, to understanding spatial relationships and movements, to making predictions […]

Computer Virus : A computer virus is a type of malicious software that replicates itself and spreads from one computer to another without the user’s knowledge or permission. These viruses are designed to infect and damage a computer system by altering or deleting important files, stealing sensitive information, and disrupting the normal functioning of the […]

Computational Complexity : Computational complexity refers to the amount of time, space, and resources required to solve a given problem or perform a specific task. In other words, it is a measure of how difficult it is to solve a problem or perform a task using a computer. One example of computational complexity is sorting […]

Composite Hypothesis : The composite hypothesis is a statistical term that refers to the combination of two or more individual hypotheses. This approach is often used in hypothesis testing, where a researcher is trying to determine whether a certain result is statistically significant. In other words, the composite hypothesis is a way of testing multiple […]

Component Bar Chart : A component bar chart is a type of chart that is used to visually represent the composition of a whole. This chart is made up of multiple bars, each representing a different component or part of the whole. The bars are typically arranged horizontally, with the length of each bar representing […]

Complete Estimator : A complete estimator is a statistical method that provides an unbiased estimate of a population parameter. This means that the estimator consistently produces estimates that are equal to the true population value, without any systematic bias. In other words, a complete estimator is a reliable and accurate tool for estimating population characteristics. […]