Microservices Architecture

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• Distance Metric: In data science, a distance metric is a function that measures the distance between two points in a dataset. It is used to determine the similarity or dissimilarity between two data points. Distance metrics are commonly used in clustering, ... Read More >>
• Eigenvalue Problems: Eigenvalue problems are mathematical problems that involve finding the eigenvalues and eigenvectors of a given matrix. In data science and artificial intelligence, eigenvalue problems are used in various applications such as principal compo ... Read More >>
• Dimensionality Reduction: Dimensionality reduction is the process of reducing the number of features or variables in a dataset while retaining as much information as possible. This is done by transforming the data from a high-dimensional space to a lower-dimensional ... Read More >>