Technology, Science and Universe
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- Variable isolationDescription: Variable isolation is a fundamental process in data science that involves separating different variables within a dataset to(...) Read more
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- Cluster analysisDescription: Cluster analysis is a technique used to group similar data points into clusters, allowing the identification of patterns and(...) Read more
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- Process accelerationDescription: Process acceleration in data science refers to the use of techniques and tools that optimize the processing and analysis of large(...) Read more
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- Variable analysisDescription: Variable analysis is a fundamental process in the fields of data science, AutoML, and Business Intelligence (BI) tools. It refers(...) Read more
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- Derived attributeDescription: A derived attribute is a feature created from existing data to enhance the dataset. In the field of data science, these attributes(...) Read more
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- Networks analysisDescription: Network analysis is the study of relationships and structures within networks, which can be social, biological, technological, or(...) Read more
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- Curve fittingDescription: Curve fitting is a statistical process that seeks to find a mathematical function that best fits a set of data points. This process(...) Read more
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- (PCA) Principal Component AnalysisDescription: Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensionality of a dataset while preserving as(...) Read more
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- Distribution fittingDescription: Distribution fitting is the process of finding the probability distribution that best fits a given set of observed data. This(...) Read more
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- Risks analysisDescription: Risk analysis is a systematic process that seeks to identify and evaluate potential risks that could affect a project. This process(...) Read more
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- Effect analysisDescription: Effect analysis is a methodology that focuses on studying the impact of different variables on the outcomes of a phenomenon or(...) Read more
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- Model alignmentDescription: Model alignment is the process of ensuring that different machine learning or data analysis models produce consistent and coherent(...) Read more
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- The performance analysisDescription: Performance analysis is a critical process in project management and agile methodologies, focusing on evaluating the performance of(...) Read more
- The Models tuningDescription: Model tuning is the process of refining a model to improve its accuracy and effectiveness. In the context of data science, this(...) Read more
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- Augmentation Description: Augmentation is a technique used in the field of machine learning and artificial intelligence that aims to increase the diversity(...) Read more
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