Machine Learning - 2. SVD | Singular Value Decomposition | Dimensionality Reduction | Solved Example by Mahesh Huddar

2. SVD Singular Value Decomposition in Dimensionality Reduction Solved Example in Machine Learning by Mahesh Huddar SVD is a popular image transform technique. It has lot of applications in dimensionality reduction, image restoration, compression, and object recognition. The SVD transform requires the given matrix 𝐴 to be factored into matrices 𝑈, Σ, 𝑎𝑛𝑑 𝑉^𝑇 #1. SVD Singular Value Decomposition Solved Example: https://youtu.be/q-J8WueQpek #2. SVD Singular Value Decomposition Solved Example: https://youtu.be/xe8KbtYXq34 #3. SVD Singular Value Decomposition Solved Example: https://youtu.be/UZq4dEeby3I The following concepts are discussed: ______________________________ SVD, SVD Transform, Singular Value Decomposition tranform, Singular Value Decomposition, svd in image processing, Dimensionality Reduction in Machine Learning, SVD in Machine Learning, Singular Value Decomposition in Machine Learning, Dimensionality Reduction, SVD in Dimensionality Reduction, SVD in Dimensionality Reduction in Machine Learning, PCA, LDA, PCA in machine learning, LDA in machine learning, SVD singular matrices, SVD singular matrix, ******************************** 1. Blog / Website: https://www.vtupulse.com/ 2. Like Facebook Page: https://www.facebook.com/VTUPulse 3. Follow us on Instagram: https://www.instagram.com/vtupulse/ 4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates