Machine Learning for Music Information Retrieval
education program·professional course·unknown
Adaptive Kadenze course on classification, tagging, regression, clustering, and emotion analysis for music signals.
Verified facts
| Official site | https://www.kadenze.com/courses/machine-learning-for-music-information-retrieval/info ↗ |
|---|---|
| Geography | United States market / online |
| price | USD 20/month premium; USD 40 program listed |
| title | Machine Learning for Music Information Retrieval |
| format | online_self_paced |
| topics | MIR; classification; tagging; regression; clustering; emotion analysis; audio signal processing |
| duration | 6 sessions; about 9 hours per session |
| end date | unknown |
| language | English |
| location | Online |
| provider | Kadenze / University of Victoria |
| recurrence | Adaptive self-paced mode; session materials dated from July 3, 2026 |
| start date | 2026-07-03 |
| instructors | George Tzanetakis |
| program type | online specialist-course module |
| prerequisites | Good programming, linear algebra, probability and statistics; Extracting Information from Music Signals course |
| program state | uncertain |
| target audience | Advanced MIR and audio learners |
| learning outcomes | Formulate auto-tagging as an ML problem; apply regression and clustering to music mood and emotion |
| application deadline | Page simultaneously says open and closed; unresolved |
| credential or outcome | Course certificate with premium; specialist certificate after full program |
| scholarship and funding | not publicly disclosed |
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