CART : CART, or Classification and Regression Trees, is a popular method for conducting machine learning and predictive modeling. It is a type of decision tree that can be used to predict a categorical response variable based on a set of predictor variables. CART is a widely used technique in data mining and predictive modeling […]

Coarsening At Random : Coarsening at random is a technique used in the field of computer science, particularly in the domain of graph algorithms. It involves simplifying a complex graph by merging together or “coarsening” pairs of vertices in the graph. This can be useful in a number of scenarios, such as reducing the size […]

Capture- Recapture Sampling : Capture-recapture sampling is a statistical method used to estimate the size of a population. It is commonly used in ecology to estimate the number of animals in a particular area. The basic idea behind capture-recapture sampling is to capture a sample of the population, mark those individuals, and then release them […]

Canonical Correlation Analysis : Canonical Correlation Analysis (CCA) is a statistical technique that is used to investigate the relationship between two sets of variables. CCA is often used in psychology and other social sciences to study the relationship between psychological constructs, such as personality traits and cognitive abilities, or between behavior and environmental factors. In […]

Calendarization : Calendarization/benchmarking is the process of converting a stream of future cash flows, whether from an investment or an asset, into equivalent amounts at a specific point in time. This allows for a more accurate comparison of different investments or assets. For example, let’s say an investor is considering two different investment options: a […]

Calibration : Calibration is the process of adjusting a model so that its predictions are accurate and reliable. In other words, it is the process of ensuring that a model’s predicted probabilities match the true probabilities of the events it is predicting. This is important because, without calibration, a model’s predictions may be overly confident […]

 C++ : C++ is a general-purpose, object-oriented programming language that was developed in the early 1980s by Bjarne Stroustrup. It is an extension of the C programming language, which is considered the foundation of many modern programming languages. C++ is a compiled language, which means that it is converted from human-readable code into machine-readable instructions […]

C- Programming Language : C is a general-purpose, procedural computer programming language that was developed in the early 1970s by Dennis Ritchie. It is a high-level language, which means that it is easier to read and write compared to low-level languages that are closer to machine code. C is widely used in many fields, including […]