Lecture 6: Singular Value Decomposition (SVD) | Matrix Methods in Data Analysis, Signal Processing, and Machine Learning | Mathematics | MIT OpenCourseWare
Lecture 6: Singular Value Decomposition (SVD) | Matrix Met…
Apr 1, 2022
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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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