Correlation : Correlation is a statistical measure that indicates the strength of a relationship between two variables. It is used to describe the extent to which two variables are related and how they vary together. One example of correlation is the relationship between a person’s height and weight. As a person grows taller, their weight […]

Conventional Neural Network : A convolutional neural network (CNN) is a type of artificial neural network that is commonly used in computer vision tasks, such as image and video recognition. CNNs are designed to process data with a grid-like structure, such as an image, which makes them well-suited for tasks that involve recognizing patterns in […]

Convolution : Convolution is a mathematical operation that combines two functions to produce a third function. It is a common technique used in signal processing and image processing to extract important information from a given input signal or image. One of the simplest examples of convolution is the convolution of two signals. Consider two signals […]

Convex Hull : A convex hull is a geometric concept that describes the shape formed by the set of all points that are either on the boundary of a given set of points or are within the set. It is a fundamental concept in computational geometry, with applications in computer vision, robotics, and machine learning. […]

Continuous Variable : A continuous variable is a type of variable that can take on an infinite number of possible values. These values can be any number within a certain range, and can be either discrete or continuous. Continuous variables are often used in mathematical and statistical analysis to measure and compare data. One example […]

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 […]