Ali Ghodsi, Lec 10: NMF via R1D algorithm
Ali Ghodsi's lecture on February 9, 2017 for STAT 442/842: Data Visualization, held at the University of Waterloo. Nonnegative Matrix Factorization (NMF): Rank-one method Power method for finding one singular value Modified power iteration Rank-One Downdata algorithm (R1D) for nonnegative matrix factorization Example: topic modelling
▶︎
Ali Ghodsi, Lec11: Sum-Product Networks
▶︎
Ali Ghodsi, Lec 9: SPCA, Nystrom Approximation, NMF
▶︎
Ali Ghodsi, Lec 1: Principal Component Analysis
▶︎
The Meaning of Ramanujan and His Lost Notebook
▶︎
Face Recognition Using Non-Negative Matrix Factorization (NMF)
▶︎
Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup
▶︎
MIT Just Revealed the AI Bubble's Fatal Flaw
▶︎
Kolumbien – Portugal Highlights | Gruppe K, FIFA WM 2026 | sportstudio
▶︎
Lecture 1: Introduction to Superposition
▶︎
What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs - Eric Jang
▶︎
Lecture 1: Introduction to China's History
▶︎
Putin’s troops will abandon Crimea: How Ukraine will win the war | Ben Hodges
▶︎
Singular Value Decomposition (SVD): Overview
▶︎
The World's Most Important Machine
▶︎
Ali Ghodsi, Deep Learning, Variational Autoencoder, VAE, Performer, Fall 2023, Lecture 15
▶︎
Topic Modeling using scikit-learn and Non Negative Matrix Factorization (NMF)
▶︎
6. Monte Carlo Simulation
▶︎
A German village in the middle of Georgia
▶︎
Jordanien – Argentinien Highlights | Gruppe J, FIFA WM 2026 | sportstudio
▶︎