This video is about singular value decomposition (SVD)!
Previous: • 主成分分析(PCA)の仕組みを理解して動かしてみよう
Code: k-datamining.github.io/dm-book/data-analysis/mater…
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Table of Contents
0:00 Title
0:51 Singular Value Decomposition
1:23 Diagonal components of matrix Σ (singular values)
2:23 Mechanism of dimensionality reduction
3:07 Overview of the experiment: Approximating images with low-rank matrices
3:53 Trying to get the code to work
5:30 Image of matrix V
6:13 Summary
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Special Thanks (voice)
VOICEVOX:Tsumugi Kasukabe
tsukushinyoki10.wixsite.com/ktsumugiofficial
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References
docs.scipy.org/doc/scipy/tutorial/linalg.html
ja.wikipedia.org/wiki/%E7%89%B9%E7%95%B0%E5%80%A4%…
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BGM
Afternoon Cafe written by Shiro Takahashi
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