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- Goal Metrics Description: Goal metrics are quantitative measures used to assess the achievement of specific goals within an organization. These metrics allow(...) Read more
- Grievance Analysis Description: Grievance analysis is a systematic process that allows organizations to examine customer complaints to identify underlying issues(...) Read more
- Growth Analysis Description: Growth analysis in the field of business intelligence refers to the evaluation of growth trends and the factors affecting that(...) Read more
- Generalized Additive Model Description: The generalized additive model (GAM) is a statistical approach that combines multiple predictors flexibly, allowing for the(...) Read more
- Goal Achievement Description: Goal achievement in the context of predictive analytics refers to the process of reaching a desired outcome or target through the(...) Read more
- Ground Truth Description: The 'Ground Truth' refers to the accurate data used as a reference to evaluate the performance of a model in the fields of AutoML(...) Read more
- Gaussian Distribution Description: The Gaussian distribution, also known as the normal distribution, is a continuous probability distribution characterized by a(...) Read more
- General Linear Model Description: The General Linear Model (GLM) is a statistical approach that extends ordinary linear regression to address a wider range of(...) Read more
- Geostatistics Description: Geostatistics is a branch of statistics that focuses on the analysis and interpretation of spatial or spatio-temporal data. Its(...) Read more
- Gradient Field Description: A gradient field is a vector field that represents the gradient of a scalar function. Mathematically, the gradient is a vector that(...) Read more
- Game Analytics Description: Game analytics is the process of analyzing player data to improve game design and user experience. This approach is based on the(...) Read more
- Generalized Linear Models Description: Generalized Linear Models (GLMs) are an extension of linear regression that allow modeling relationships between variables when the(...) Read more
- Goodness of Fit Description: Goodness of fit is a statistical test that evaluates how well a model fits a set of observed data. This concept is fundamental in(...) Read more
- Gravitational Clustering Description: Gravitational clustering is a data analysis technique based on the analogy of gravitational forces to group similar data points. In(...) Read more
- Gaps Filling Description: Gap Filling is a fundamental process in data preprocessing used to address the issue of missing values in a dataset. This(...) Read more
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