Vectors

In data science, a vector is a one-dimensional array of data elements, often used to represent numerical data. Vectors can be used to represent data in a variety of contexts, including machine learning algorithms, data visualization, and statistical analysis. In machine learning, vectors are often used to represent features of a dataset, such as the pixel values of an image or the frequency of words in a text document. Vectors can also be used to represent the output of a machine learning model, such as the predicted probabilities of different classes. In addition to numerical data, vectors can also be used to represent categorical data, such as the one-hot encoding of categorical variables. Overall, vectors are a fundamental data structure in data science and are used extensively in a wide range of applications.
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