Lecture 6: Singular Value Decomposition (SVD) | Matrix Methods in Data Analysis, Signal Processing, and Machine Learning | Mathematics | MIT OpenCourseWare
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Lecture 29: Singular value decomposition | Linear Algebra | Mathematics | MIT OpenCourseWare
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MIT
Singular value decomposition is one of many low rank methods when working with matrices. This video shares the intuition for why SVD matters and why it's so widely used in recommender systems, working with text and images, and even large language models. The linear algebra class is useful. #datascience #machinelearning #svd #singularvaluedecomposition #matrixalgebra
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