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• Semi-Supervised Learning: Semi-supervised learning is a type of machine learning technique that uses both labeled and unlabeled data to train an algorithm. In this approach, a small amount of labeled data is used to guide the learning process, while a larger amount ... Read More >>
• Data Lineage: Data Lineage refers to the process of tracking and documenting the flow of data from its origin to its destination. It involves capturing metadata about the data, such as its source, transformations, and storage locations, and creating a vi ... Read More >>
• Data Corruption: Data corruption refers to errors in computer data that occur during writing, reading, storage, transmission, or processing, which make the data unreadable, incomplete, or inaccurate. Data corruption can be caused by various factors such as ... Read More >>