T-test: A T-test is a type of statistic that is used to compare two groups of data. It can be used to determine whether the means of the two groups are statistically different from each other.
Definition of Y-combinator 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…
Definition of Data Wrangling Data wrangling is the process of manipulating and cleaning data in order to prepare it for analysis. This can involve anything from removing duplicates to transforming data into a different format. Data wrangling can be a time-consuming process, but it is essential for ensuring that data is ready for analysis. What…
Adaptive boosting, also known as AdaBoost, is a machine learning algorithm used to improve the accuracy of a classification model. It works by iteratively training a series of weak classifiers on a dataset, and then combining their predictions to produce a more accurate final prediction.
Definition of Prior Distribution A prior distribution is a probability distribution that is used to assign a probability to each outcome in a problem before any data is observed. This distribution is usually chosen based on experience or intuition.
Definition of Oblique Rotation Oblique Rotation: Oblique rotation is a type of rotation that is not perpendicular to the plane of rotation.
Ad Hoc Analysis is an exploratory analysis technique used to uncover patterns or relationships in a dataset. Often times this work is performed “Ad Hoc” or “On The Fly”… meaning it it done in the moment.