6 ms·
CS 281B: Statistical Learning Theory (2014)
- njohnson41 10y agoThis should be marked (2004), not (2014).
- selmat 10y agoHere is it from 2014: http://people.eecs.berkeley.edu/~jordan/courses/281A-spring14/ http://people.eecs.berkeley.edu/~jordan/courses/281A-spring1... ...unfortunately 2014 version has fewer study materials
- randcraw 10y agoAccess to all the readings at this link has been blocked. Only the newer syllabus is visible.
- cuchoi 10y agoFor those who prefer videos, here is the MIT version of the course: 9.520 - Statistical Learning Theory and Applications, Fall 2015 https://www.youtube.com/watch?v=6AWZS4Ho2Z8&list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O https://www.youtube.com/watch?v=6AWZS4Ho2Z8&list=PLyGKBDfnk-...
- astrosi 10y agoLooks like the homeworks for this are not available.
- deleted 10y ago[deleted]
- MarkG509 10y agoEarlier this year, I retired (voluntarily) from a large company after 32 years. Now that I have time to breath/think/sleep, I actually 'audit' many of the on-line courses I find mentioned here. Great fun. Thanks!
- curiousgal 10y agoThat's really cool! I am still in my early twenties and I find that rather inspiring. Thank you!
- deleted 10y ago[deleted]
- rm999 10y agoTo put it in perspective Michael Jordan is one of the pioneers of the modern approach to statical machine learning. It's very cool to see his course notes from 12 years ago when many schools didn't even offer basic machine learning courses. Learning theory is a math-heavy (proof-heavy) subfield of machine learning that studies what's possible and why some of the methods work as well as they do. Unless you have a strong math background and are already fairly well-versed in machine learning, I'd first take practical classes. Learning theory is the last class I took in grad school and I really enjoyed it.
- zump 10y agoHow can I get VC's to fund my dimension?
- zanalyzer 10y agobuild such Vapnik machine (SVM)
- arcanus 10y agoAlong those lines, I've heard less press about statistical learning start ups than some of the recent deep learning work. Anyone know of some recent ventures in this space? Anyone to keep an eye on?
- zump 10y agoBecause a kernel SVM is a neural net with one hidden layer?!
- tomrod 10y agoIt would be interesting to see if there is anything similar for text mining.
- deleted 10y ago[deleted]
- georgeek 10y agoThe reason why the class from 2014 doesn't have a lot of the material is because a big part of it is based on Prof Jordan's future book on Statistical Learning Theory. Another great study of his: http://www.nowpublishers.com/article/Details/MAL-001 http://www.nowpublishers.com/article/Details/MAL-001