arXiv:0904.3664cs.LG
Introduction to Machine Learning: Class Notes 67577
Amnon Shashua
HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.
Abstract
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).
- arXiv comments
- 109 pages, class notes of Machine Learning course given at the Hebrew University of Jerusalem
- Journal reference
- DOI
On Hacker News
No comments linking this paper were found in the collected sources. Found in 1 HN submission from Apr 2009 to Apr 2009. Open submission discussions.
Comments linking this paper, per year.
Discussed in comments0 threads
Connected through shared HN threads, not inferred similarity or a recommendation.