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 to compare data sets and to find patterns in data.
Definition of Mean Squared Error Mean Squared Error is a statistic used to measure the accuracy of predictions made by a machine learning model. It is calculated by taking the sum of the squared differences between the predicted values and the actual values for each data point, and dividing by the number of data points….
Definition of Normal Distribution A normal distribution is a type of bell-shaped distribution in which the majority of the data falls around the mean. This distribution is often used in statistics to model real-world data.
Definition of Kurtosis Kurtosis: A measure of the peakedness or flatness of a distribution, Kurtosis is determined by calculating the fourth moment of the distribution about its mean. Distributions with high kurtosis are more peaked than those with low kurtosis, while distributions with low kurtosis are more spread out. How is Kurtosis used? Kurtosis is…
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 Multivariate Multivariate: Multivariate refers to a dataset or analysis that considers more than one variable at a time. For example, in a multivariate analysis, you might examine the relationship between height and weight in order to understand how they are related. How is Multivariate used? Multivariate analysis is a collection of techniques used…
Definition of Population Population: A population is the complete set of all individuals or items under consideration. In statistics, a population is often described by its parameters, such as its mean and standard deviation. The population can also simply be defined as the entire set of items or cases to be studied.