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@jemoka / Jemoka Knowledge Base / raw/concept/kbhparametricity_of_learning_algorithms.md
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--- title: "parametricity of learning algorithms" source: https://www.jemoka.com/posts/kbhparametricity_of_learning_algorithms/ --- Non-Parametric Learning Algorithm The memory usage of the algorithm grow linearly as a function of the size of the dataset \(n\). Parametric Learning Algorithm There’s a fixed set of parameters \(\theta_{i}\) that you learn once, which you then use to make predictions. You don’t need to keep the dataset around.