Data Mining Spring 2023 Class Overview Information Center
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Last Updated: June 17, 2026
Overview of Data Mining Spring 2023 Class Overview
0:00 Recording start 0:48 Lecture begins 2:16 The logistics of the 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 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 ... 0:00 Recording starts 0:45 Lecture starts 0:56 Drop/Withdrawal policy 1:26 Changes to the
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 1:27 Lecture starts 1:55 MDS (motivation) 8:31 MDS ( 0:00 Recording starts 0:34 Announcements 2:58 Linear regression (recap) 5:40 Nonlinear regression (intro) 7:31 Linear ... 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 1:19 Mid-term exam announcements 5:05 Misra-Gries (example) 32:09 A sketch algorithm (intuition) 39:11 ... 0:00 Recording start 0:48 Announcements 8:43 Spectral clustering (finish) 16:59 Frequent items problem (intro) 21:37 Fi-frequent ...
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0:00 Recording starts 0:20 Announcements 3:08 Random projection (motivation recap) 7:08 Random projection (algorithm recap) ...
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Data Mining (Spring 2023) - Class Overview
Data Mining (Spring 2023) - Review
Data Mining (Spring 2023) - Distance metric learning + Outlier detection
Data Mining (Spring 2023) - Statistical Principles
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