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