Ali Ghodsi, Lec 5: LLE, Spectral Clustering
Ali Ghodsi's lecture on January 19, 2017 for STAT 442/842: Data Visualization, held at the University of Waterloo. Review of Locally Linear Embedding. Solving the LLE final representation problem. Introduction to Spectral Clustering algorithm for clustering. Some relevant results from graph theory.
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Ali Ghodsi, Lec 6: Spectral Clustering, Laplacian Eigenmap, MVU
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Uniform Manifold Approximation and Projection (UMAP) | Dimensionality Reduction Techniques (5/5)
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Graph Clustering Algorithms (September 28, 2017)
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Ali Ghodsi, Lec 4: MDS, Isomap, LLE
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Ali Ghodsi, Lec 1: Principal Component Analysis
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35. Finding Clusters in Graphs
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Single-photon detectors - Krister Shalm
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The Meaning of Ramanujan and His Lost Notebook
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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
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Ali Ghodsi, Lec 2: PCA (Ordinary, Dual, Kernel)
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Chip design from the bottom up – Reiner Pope
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The mathematician who cracked Wall Street | Jim Simons
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Visualizing transformers and attention | Talk for TNG Big Tech Day '24
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Putin’s troops will abandon Crimea: How Ukraine will win the war | Ben Hodges
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12. Clustering
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Ali Ghodsi, Lec 9: SPCA, Nystrom Approximation, NMF
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How GPT, Claude, and Gemini are actually trained and served – Reiner Pope
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AlphaFold - The Most Useful Thing AI Has Ever Done
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