Introduction to Machine Learning: Class Notes 67577
| dc.creator | Shashua, Amnon | |
| dc.date | 2009-04-23 | |
| dc.date.accessioned | 2026-07-07T13:07:55Z | |
| dc.date.available | 2026-07-07T13:07:55Z | |
| dc.description | Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem). | |
| dc.description | 109 pages, class notes of Machine Learning course given at the Hebrew University of Jerusalem | |
| dc.identifier | https://arxiv.org/abs/0904.3664 | |
| dc.identifier | http://arxiv.org/abs/0904.3664 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/228253 | |
| dc.subject | Machine Learning | |
| dc.title | Introduction to Machine Learning: Class Notes 67577 | |
| dc.type | text |