Contingency Plans

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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 >>
• Exponential Function: In the context of Data Science, an Exponential Function is a mathematical function that is extensively used in various algorithms and models. It is a function in which the input variable acts as the exponent of a base number. The general fo ... Read More >>
• Research Process: Research process refers to the systematic and organized approach to conducting scientific investigations in order to discover new knowledge or validate existing knowledge. In data science and artificial intelligence, the research process in ... Read More >>