Cross Validation : Cross validation is a method used in machine learning to evaluate the performance of a model on unseen data. It involves dividing the available data into multiple subsets, training the model on one subset and testing it on the remaining subsets. This process is repeated multiple times, with each subset being used […]

Critical Region : A critical region, also known as a critical section, is a part of a concurrent program where access to shared resources must be strictly controlled. This is necessary in order to prevent concurrent access to shared resources from causing errors or inconsistencies in the program’s output. One example of a critical region […]

Credit Scoring : Credit scoring is a system used by financial institutions to evaluate the creditworthiness of an individual. It is a way for lenders to determine the likelihood that a borrower will be able to repay a loan. Credit scoring is based on a variety of factors, including an individual’s credit history, credit utilization, […]

Covariance : Covariance is a measure of the joint variability of two random variables. It indicates how the two variables are related and whether they change together. If the two variables change in the same direction, the covariance is positive. If they change in opposite directions, the covariance is negative. And if there is no […]

Cost Function : A cost function is a measure of how well a learning algorithm is doing in terms of being able to predict the correct output values for a given input. In other words, it measures the accuracy of the algorithm in making predictions. The goal of any learning algorithm is to find the […]

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 […]