Structure and Matrices in Julia Programming - Lecture 3

Structure and Matrices in Julia Programming - Lecture 3

The Julia Programming Language via YouTube Direct link

Singular value decomposition(SVD)

8 of 13

8 of 13

Singular value decomposition(SVD)

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Classroom Contents

Structure and Matrices in Julia Programming - Lecture 3

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  1. 1 Introduction
  2. 2 Matrices
  3. 3 Vectors in Machine Learning or Linear Algebra
  4. 4 Diagonal Matrices
  5. 5 Sparse Matrices
  6. 6 Another way of compressing Information-Store the Summary
  7. 7 Another kind of image compression-Outer Product(Multiplication tables), factorizing the Multiplication tables
  8. 8 Singular value decomposition(SVD)
  9. 9 How to use SVD for Computational Thinking?
  10. 10 Extracting the structure of an image using SVD
  11. 11 Final note
  12. 12 Welcome!
  13. 13 Help us add time stamps or captions to this video! See the description for details.

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