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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 >>
• Binary Encoding: Binary encoding is a technique used in data science and artificial intelligence to represent categorical data as binary vectors. In this technique, each category is assigned a unique binary code, and each observation is represented as a vec ... Read More >>
• Models: In the context of data science and artificial intelligence, a model is a mathematical representation of a system or process that is used to make predictions or decisions based on data. Models can be trained using various machine learning al ... Read More >>