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• Nyquist-Shannon Sampling Theorem: The Nyquist-Shannon Sampling Theorem, also known as the Sampling Theorem, states that in order to accurately reconstruct a continuous signal from its samples, the sampling rate must be at least twice the highest frequency component present ... Read More >>
• SVD: Singular Value Decomposition (SVD) is a matrix factorization technique that decomposes a matrix into three matrices, U, Σ, and V, where U and V are orthogonal matrices and Σ is a diagonal matrix. SVD is widely used in data science for dim ... Read More >>
• Signatures: In Data Science, signatures refer to the unique patterns or characteristics that can be extracted from data. These patterns can be used to identify and classify different types of data, such as images, text, or audio. Signatures can be crea ... Read More >>