Statistics
Definition of Statistics
Statistics: Statistics is the practice of collecting, analyzing, and drawing conclusions from data.
Statistics: Statistics is the practice of collecting, analyzing, and drawing conclusions from data.
Definition of Data Governance Data Governance: The process of governing data involves implementing structure, controls, and processes around the management of data. Data governance aims to ensure that data is consistently accurate, complete, and accessible across the enterprise. It also helps identify and protect sensitive information while maximizing its value. What is Data Governance used…
Definition of Vector Space Model Vector Space Model: A vector space model is a mathematical model used in statistics, data mining, and machine learning to describe a set of objects in terms of their attributes and relationships between them.
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 Outlier Outlier: An outlier is a data point that is significantly different from the other points in the dataset. Outliers can be caused by errors in data collection or by natural variations in the data. They can be removed from a dataset before analysis, or they can be studied to learn more about…
Definition of Enrichment Enrichment: In data science, enrichment is the process of expanding or enhancing a dataset with additional information. This can be done in order to improve the accuracy of predictions or to gain a deeper understanding of the data. Enrichment can be performed manually, by adding new data points to the dataset, or…
Definition of Model A model is a representation of something in order to understand it or predict its behavior. In machine learning, a model is a mathematical function that is used to predict the value of a target variable, given a set of input variables. How is a Model used? A Model is a mathematical…