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• Data Enrichment: Data enrichment is the process of enhancing, refining, and improving raw data by adding valuable information from external sources. This process involves collecting and integrating additional data sets to provide a more comprehensive view o ... Read More >>
• Model Refinement: Model refinement is the process of improving the performance of a machine learning model by making adjustments to its parameters, hyperparameters, or architecture. It involves fine-tuning the model to achieve better accuracy, precision, rec ... Read More >>
• Abstraction Layers: Abstraction Layers refer to the concept of hiding complexity by creating layers of abstraction that allow users to interact with a system at a higher level of understanding. In the context of Data Science and Artificial Intelligence, abstra ... Read More >>