Media Summary: 0:00 Recording starts 0:25 Lecture starts 0:43 Project deadlines 5:52 Matrix completion 43:10 Graphs / PageRank 1:20:10 Lecture ... 0:00 Recording starts 0:42 Announcements 3:44 Distance metric learning 14:59 Recasting the optimization objective 33:21 ... 0:00 Recording starts 0:16 Lecture starts 0:17 Announcements 3:27 Clustering (intro) 11:14 Categories of clustering algos 23:38 ...
Data Mining Spring 2023 Streaming - Detailed Analysis & Overview
0:00 Recording starts 0:25 Lecture starts 0:43 Project deadlines 5:52 Matrix completion 43:10 Graphs / PageRank 1:20:10 Lecture ... 0:00 Recording starts 0:42 Announcements 3:44 Distance metric learning 14:59 Recasting the optimization objective 33:21 ... 0:00 Recording starts 0:16 Lecture starts 0:17 Announcements 3:27 Clustering (intro) 11:14 Categories of clustering algos 23:38 ... 0:00 Recording start 0:48 Announcements 8:43 Spectral clustering (finish) 16:59 Frequent items problem (intro) 21:37 Fi-frequent ... 0:00 Recording starts 1:27 Lecture starts 1:55 MDS (motivation) 8:31 MDS (outline) 24:41 MDS (clarification) 39:17 LDA ... 0:00 Recording starts 0:29 Announcements 2:26 Spectral clustering (intro) 5:23 Graphs 21:34 Approx. the partitioning problem ...
0:00 Recording start 0:48 Lecture begins 2:16 The logistics of the course 5:05 Website (main) 9:48 Pre-requisites 15:40 Reading ... 0:00 Recording start 0:27 Lecture start 0:33 Announcements 2:43 k-means (intro) 8:28 k-means (formally) 17:03 Lloyd's algorithm ... 0:00 Recording starts 0:34 Announcements 2:58 Linear regression (recap) 5:40 Nonlinear regression (intro) 7:31 Linear ... 0:00 Recording start 0:34 Announcements 2:58 PageRank Part I recap 11:35 Spider traps 14:29 Dead ends 16:09 Problems ... 0:00 Recording starts 0:44 Lecture starts 0:52 Announcements 4:07 Revisit: Prob[candidate]-similarity curves 10:32 Revist (d1,d2 ... 0:00 Recording starts 1:19 Mid-term exam announcements 5:05 Misra-Gries (example) 32:09 A sketch algorithm (intuition) 39:11 ...
0:00 Recording starts 0:32 Lecture starts 0:44 Announcements 10:35 Motivation 11:13 IID assumptions 18:50 Notation (today) ... Yeah from regression not from the beginning from January so only after 0:00 Recording starts 0:20 Announcements 3:08 Random projection (motivation recap) 7:08 Random projection (algorithm recap) ... 0:00 Recording starts 0:45 Lecture starts 0:56 Drop/Withdrawal policy 1:26 Changes to the syllabus 4:34 Clarification of Lecture 2 ... 0:00 Recording Start 0:15 Lecture starts 0:20 Course Materials Copyright 1:10 Announcements 2:06 Choosing k for minhashing ...
