Technology, Science and Universe
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- Status Monitoring Description: Status monitoring is the process of continuously checking the status of a system or component, ensuring it operates optimally and(...) Read more
- System Audit Description: System auditing is a thorough examination of the processes and controls of a system, designed to ensure compliance with regulations(...) Read more
- Software Quality Assurance Description: Software quality assurance (QA) is a systematic process that seeks to ensure that the developed software meets established quality(...) Read more
- Semi-Supervised Learning Description: Semi-supervised learning is a machine learning approach that combines labeled and unlabeled data for model training. This method is(...) Read more
- Stochastic Gradient Descent Description: Stochastic Gradient Descent (SGD) is an iterative method used to optimize objective functions expressed as the sum of(...) Read more
- Sparse Coding Description: Sparse coding is an approach to data representation characterized by having a large number of zeros in its structure, meaning that(...) Read more
- Scikit-learn Description: Scikit-learn is a Python library for machine learning that provides simple and efficient tools for data mining and data analysis.(...) Read more
- Supervised Classification Description: Supervised classification is a fundamental process in the field of machine learning, where a model is trained using a labeled(...) Read more
- Sample Size Description: Sample size refers to the number of observations or replicas included in a statistical sample, which can affect the reliability of(...) Read more
- Sequential Data Description: Sequential data refers to data that is organized in a specific sequence, meaning that the order of the data is fundamental for its(...) Read more
- Suppression Description: Suppression is a method used in data anonymization that involves removing or obscuring specific data elements to prevent the(...) Read more
- Sanitization Description: Data sanitization is the process of cleaning and preparing datasets for analysis or use by removing sensitive or irrelevant(...) Read more
- Statistical Disclosure Control Description: Statistical Disclosure Control refers to the methods and techniques used to prevent the identification of individuals in(...) Read more
- Scrambling Description: Scrambling is a method of altering data to prevent unauthorized access to sensitive information while preserving its utility for(...) Read more
- Statistical Noise Description: Statistical noise refers to the random variations added to data in order to protect the identity of individuals within a dataset.(...) Read more
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