Media Summary: 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 0:44 Lecture starts 0:52 Announcements 4:07 Revisit: Prob[candidate]-similarity curves 10:32 Revist (d1,d2 ... And if I fix the data to a tabular form it will not it will not be the general data which we'll talk about when I talk about
Data Mining Spring 2023 Statistical - Detailed Analysis & Overview
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 0:44 Lecture starts 0:52 Announcements 4:07 Revisit: Prob[candidate]-similarity curves 10:32 Revist (d1,d2 ... And if I fix the data to a tabular form it will not it will not be the general data which we'll talk about when I talk about 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 starts 1:12 Lecture starts 2:03 Mid-semester course feedback / changes 18:04 Project intermediate report 22:40 ... 0:00 Recording Start 0:15 Lecture starts 0:20 Course Materials Copyright 1:10 Announcements 2:06 Choosing k for minhashing ...
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 ... Yeah from regression not from the beginning from January so only after 0:00 Recording starts 0:42 Announcements 3:44 Distance metric learning 14:59 Recasting the optimization objective 33:21 ... 0:00 Lecture starts 0:43 Best rank-k approximation (recap) 5:54 PCA vs. SVD 9:50 Random projection (motivation) 17:30 ... 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 0:20 Lecture starts 0:27 Announcement (Piazza) 0:54 Plagiarism/cheating policy 1:31 Projects 12:14 ...
