Y-combinator: The Y-combinator is a function that takes a function and returns another function. The returned function takes two arguments: a number n and a list xs of length n. It returns the first element of xs if n is 0 or 1, and the product of the first two elements of xs otherwise.
Definition of F-Test F-test: An F-test is a statistical test used to determine the significance of a difference between two variances. What is an F-Test used for? An F-Test is a statistical test used to compare the variability between two population variances. It is used to determine if there is a significant difference between the…
Definition of Functional Programming Functional Programming: Functional programming is a style of programming in which the programmer focuses on functions instead of objects. In functional programming, functions are treated as first-class citizens, meaning they can be passed around and used like any other variable. Functional programming languages typically emphasize simplicity and purity, meaning that functions…
Definition of Normalization Normalization: Normalization is the process of standardizing data so that it has a consistent meaning across different data sets. This can be done by ensuring that all values in a data set are within a certain range, or by converting all data to a single numerical representation. Normalization can make it easier…
Definition of Embedding Embedding: Embedding is a technique used in machine learning for representing high-dimensional data in a low-dimensional space. It is used to improve the performance of algorithms by reducing the number of parameters that need to be estimated or optimized. This is often done in order to improve the efficiency of machine learning…
Definition of Machine Learning Model A machine learning model is a representation of the data that is learned by a machine learning algorithm. The model can be used to predict the outcomes of future events, based on the data that is used to train the model. How is Machine Learning Model used? A Machine Learning…
Definition of Unsupervised Learning Unsupervised Learning: Unsupervised learning is a type of machine learning algorithm that does not rely on feedback from humans to learn how to identify patterns in data. These algorithms are typically used to identify patterns in data that have not been labeled or categorized by humans.