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• Internal Parameters: Internal parameters refer to the variables or coefficients that are learned by a machine learning algorithm during the training process. These parameters are used to make predictions on new data. The values of internal parameters are update ... Read More >>
• Material Properties: Material properties refer to the physical and chemical characteristics of a substance that determine its behavior under specific conditions. In data science and artificial intelligence, material properties are often used to train models tha ... Read More >>
• Architecture: In the context of Data Science, Architecture refers to the design and organization of a system that enables efficient and effective processing, storage, and retrieval of data. It involves the selection of appropriate hardware and software c ... Read More >>