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Preprocessing Feature extraction and normalization Applications Transforming input data such as text for use with machine learning algorithms Algorithms preprocessing feature extraction and more Support vector machine (SVM) is a supervised machine learning algorithm that classifies data by finding an optimal line or hyperplane that maximizes the distance between each class in an N-dimensional space. SVM was developed in the 1990s by Vladimir N. Vapnik and his colleagues, and they demonstrated this work in a paper titled "Support Vector ...
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