In-Memory Databases

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• Prior Knowledge: Prior knowledge refers to any relevant information or experience that an individual possesses before engaging in a particular task or learning activity. In the context of data science and artificial intelligence, prior knowledge can be used ... Read More >>
• Lagged Version: Unsupervised learning is a type of machine learning where the model is trained on unlabeled data without any specific target variable. The goal of unsupervised learning is to identify patterns and relationships in the data, and to group sim ... Read More >>
• Entities: In data science, entities refer to objects or concepts that are relevant to a particular domain and can be represented as data. These can include people, places, things, events, and more. Entities are often identified and extracted from uns ... Read More >>