Data Accuracy

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• Hyperparameter: In the context of machine learning, hyperparameters are parameters that are not learned from data but are set prior to training. They are used to control the learning process and affect the performance of the model. Examples of hyperparamet ... Read More >>
• Synthetic Data Generation: Synthetic Data Generation is the process of creating artificial data that mimics the statistical properties of real-world data. This technique is used to generate large amounts of data that can be used for testing, training, and validating ... 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 >>