Reporting
Reporting refers to the process of collecting, analyzing, and presenting data in a meaningful way to support decision-making. In the context of data science and artificial intelligence, reporting involves the use of various tools and techniques to extract insights from large and complex datasets. This includes data visualization, statistical analysis, and machine learning algorithms. Reporting can be used to track key performance indicators, identify trends and patterns, and provide actionable insights to stakeholders. It is an essential component of business intelligence and data-driven decision-making.
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- Bandwidth: In Data Science, bandwidth refers to the range of values or distance around a data point that is used to calculate a kernel density estimate. It is a parameter that determines the smoothness of the resulting density estimate. A larger bandw ... Read More >>
- Wilcoxon Rank-sum Test: Wilcoxon Rank-sum Test, also known as Mann-Whitney U test, is a non-parametric statistical hypothesis test used to compare two independent samples. It is used to determine whether two sets of observations are likely to derive from the same ... Read More >>
- Data Cube: A data cube is a multi-dimensional array that allows for efficient querying and analysis of large datasets. It is a popular technique used in data warehousing and OLAP (Online Analytical Processing) systems. A data cube can be thought of as ... Read More >>
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