Reinforcement Learning: Reinforcement learning is a type of machine learning that allows machines to learn by trial and error. In reinforcement learning, the machine is given feedback after each trial, which allows it to learn which actions lead to positive outcomes. Reinforcement learning is often used to train robots or other autonomous systems.
Definition of Windowed Aggregation Windowed Aggregation: Windowed aggregation is the process of computing a statistic over a fixed-size window of data. The window slides along the data set, taking a fixed number of values from the start of the set and computing the statistic for each one. This can be done with any type of…
Definition of SPSS SPSS (Statistical Package for the Social Sciences) is a software package used for statistical analysis. It was originally designed for social scientists, but has been expanded to accommodate a wider range of data. SPSS can be used to conduct basic statistical analyses, as well as more complex procedures such as multivariate analysis…
Covariance is a measure of how two variables change together. It is calculated as the variance of the product of the two variables divided by the product of their standard deviations.
Artificial intelligence (AI) is the ability of a computer program to learn from data, recognize patterns and make decisions with minimal human intervention
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 Labeling Labeling: Labelling is the process of attaching a label, or name, to a particular instance of data. This can be done manually, or through automated means. Labels can be used to help identify and group data, as well as to track changes over time. How is Labeling used? Labeling is an important…