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• Polynomial Kernels: In machine learning, a kernel function is a mathematical function that transforms data into a higher-dimensional space, allowing for non-linear classification or regression. Polynomial kernels are a type of kernel function that use a polyno ... Read More >>
• Model Uncertainty: Model uncertainty refers to the lack of knowledge or confidence in the accuracy of a statistical or machine learning model's predictions. It arises due to various factors such as limited data, noise in the data, model complexity, and assump ... Read More >>
• Iteration: Iteration is the process of repeating a set of instructions or a sequence of steps multiple times, often with the aim of reaching a desired outcome or result. In data science, iteration is a fundamental concept that is used in various algor ... Read More >>