Unlocking Machine Learning: Matrix Decomposition, Hill Cipher, and More 📊
Explore key concepts like matrix decomposition, Hill cipher encryption, queueing theory, and their applications in machine learning. Enhance your understanding of advanced techniques and practical use cases!
sCrypt Dev Platform
1.7K views • Mar 29, 2021
About this video
10:00 Matrix decomposition in Machine Learning
14:00 DRM, better NFT
15:00 Statistical analysis like mean squared error
17:00 Hill Cipher
25:00 Homomorphic encryption and pay for computation
26:30 Systems of linear equations
37:10 Matrix decomposition in ML, SVD
40:00 Selling digitals like images with varying qualities online
An example using SVD to trustlessly sell high-resolution image is provided at https://xiaohuiliu.medium.com/machine-learning-on-bitcoin-40f830ad1b43.
References:
https://en.wikipedia.org/wiki/Hill_cipher
https://massey.limfinity.com/207/hillcipher.pdf
https://heartbeat.fritz.ai/applications-of-matrix-decompositions-for-machine-learning-f1986d03571a
14:00 DRM, better NFT
15:00 Statistical analysis like mean squared error
17:00 Hill Cipher
25:00 Homomorphic encryption and pay for computation
26:30 Systems of linear equations
37:10 Matrix decomposition in ML, SVD
40:00 Selling digitals like images with varying qualities online
An example using SVD to trustlessly sell high-resolution image is provided at https://xiaohuiliu.medium.com/machine-learning-on-bitcoin-40f830ad1b43.
References:
https://en.wikipedia.org/wiki/Hill_cipher
https://massey.limfinity.com/207/hillcipher.pdf
https://heartbeat.fritz.ai/applications-of-matrix-decompositions-for-machine-learning-f1986d03571a
Video Information
Views
1.7K
Likes
65
Duration
49:00
Published
Mar 29, 2021
User Reviews
4.5
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