Media Summary: 0:00 Recording start 0:48 Lecture begins 2:16 The logistics of the 0:00 Recording starts 0:32 Lecture starts 0:44 Announcements 10:35 Motivation 11:13 IID assumptions 18:50 Notation (today) ... 0:00 Recording starts 0:42 Announcements 3:44 Distance metric learning 14:59 Recasting the optimization objective 33:21 ...
Data Mining Spring 2023 Class - Detailed Analysis & Overview
0:00 Recording start 0:48 Lecture begins 2:16 The logistics of the 0:00 Recording starts 0:32 Lecture starts 0:44 Announcements 10:35 Motivation 11:13 IID assumptions 18:50 Notation (today) ... 0:00 Recording starts 0:42 Announcements 3:44 Distance metric learning 14:59 Recasting the optimization objective 33:21 ... 0:00 Recording starts 0:34 Announcements 2:58 Linear regression (recap) 5:40 Nonlinear regression (intro) 7:31 Linear ... 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 0:44 Lecture starts 0:52 Announcements 4:07 Revisit: Prob[candidate]-similarity curves 10:32 Revist (d1,d2 ...
0:00 Recording Start 0:15 Lecture starts 0:20 0:00 Recording starts 0:20 Lecture starts 0:27 Announcement (Piazza) 0:54 Plagiarism/cheating policy 1:31 Projects 12:14 ... 0:00 Recording starts 0:29 Announcements 2:26 Spectral clustering (intro) 5:23 Graphs 21:34 Approx. the partitioning problem ... 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 starts 1:19 Mid-term exam announcements 5:05 Misra-Gries (example) 32:09 A sketch algorithm (intuition) 39:11 ... Yeah from regression not from the beginning from January so only after
0:00 Recording starts 0:27 Count-Min Sketch (example) 42:27 References: Which algorithm to use? 44:10 Count-Min Sketch ...
