Ali Ghodsi, Lec 9: SPCA, Nystrom Approximation, NMF
Ali Ghodsi's lecture on February 7, 2017 for STAT 442/842: Data Visualization, held at the University of Waterloo. Algorithms for supervised PCA and kernel supervised PCA Nystrom approximation, and using it to speed up methods Nonnegative matrix factorization (NMF) - introduction

▶︎
Ali Ghodsi, Lec 10: NMF via R1D algorithm

▶︎
Ali Ghodsi, Lec 13: Word2Vec Skip-Gram

▶︎
4-3. Nystrom Approximation

▶︎
Ali Ghodsi, Lec 15: t-SNE

▶︎
Part 1: Nystrom approximation

▶︎
Ali Ghodsi, Lec 1: Principal Component Analysis

▶︎
Lecture 14: Low Rank Approximations

▶︎
Applied Linear Algebra: Tensor Decompositions

▶︎
You Know This Song (but the Orchestra Doesn’t) | Jacob Collier & VSO School of Music Orchestra | TED

▶︎
We're 99.9% sure this pattern is true, but no one can prove it

▶︎
“I’ve seen how governments suppress freedom” | Telegram founder Pavel Durov at Oslo Freedom Forum

▶︎
Ali Ghodsi, Lec 9: Stein’s unbiased risk estimator (sure)

▶︎
The FULL VIDEO of Trump they didn’t want released

▶︎
Lorenzo Rosasco - Efficient learning with Nyström projections

▶︎
Ali Ghodsi, Lec 14: Autoencoders, Clustering, Mixture of Gaussians

▶︎
Ali Ghodsi, Lec 4: MDS, Isomap, LLE

▶︎
See How a 453kg Giant Bluefin Tuna Is Flawlessly Carved in Seconds

▶︎
Ali Ghodsi, Lec 19: PAC Learning

▶︎
JANITOR vs THE BIGGEST GUYS IN THE GYM. They Didn’t Expect THAT

▶︎
