Matrix, Hill Cipher, Queueing, and Applications in Machine Learning

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