cornell cs 5787: applied machine learning. lecture 9. part 1: classification margins
Published 3 years ago • 1.6K plays • Length 28:36Download video MP4
Download video MP3
Similar videos
-
12:20
cornell cs 5787: applied machine learning. lecture 9. part 2: the max-margin classifier
-
24:09
cornell cs 5787: applied machine learning. lecture 9. part 3: soft margins and the hinge loss
-
12:54
cornell cs 5787: applied machine learning. lecture 9. part 4: optimization for svms
-
16:08
cornell cs 5787: applied machine learning. lecture 19. part 1: what is dimensionality reduction?
-
13:49
cornell cs 5787: applied machine learning. lecture 4. part 1: the data distribution
-
11:53
cornell cs 5787: applied machine learning. lecture 22. part 4: distribution mismatch
-
22:12
cornell cs 5787: applied machine learning. lecture 22. part 1: learning curves
-
49:43
machine learning lecture 30 "bagging" -cornell cs4780 sp17
-
1:15:20
stanford cs229: machine learning course, lecture 1 - andrew ng (autumn 2018)
-
47:36
machine learning lecture 21 "model selection / kernels" -cornell cs4780 sp17
-
13:32
cornell cs 5787: applied machine learning. lecture 17. part 1: unsupervised probabilistic models
-
18:35
cornell cs 5787: applied machine learning: lecture 1. part 1. introduction to machine learning
-
20:52
cornell cs 5787: applied machine learning. lecture 8. part 1: text classification
-
23:15
cornell cs 5787: applied machine learning. lecture 12. part 1: decision trees
-
18:15
cornell cs 5787: applied machine learning. lecture 16. part 1: introduction to unsupervised learning
-
15:47
cornell cs 5787: applied machine learning. lecture 1. part 1: introduction to machine learning
-
23:59
cornell cs 5787: applied machine learning. lecture 20. part 1: machine learning development workflow
-
28:50
cornell cs 5787: applied machine learning. lecture 3. part 1: optimization and calculus
-
19:25
cornell cs 5787: applied machine learning. lecture 15. part 1: what is deep learning?
-
9:12
cornell cs 5787: applied machine learning. lecture 20. part 4: evaluating regression models
-
17:31
cornell cs 5787: applied machine learning. lecture 1. part 2: three approaches to machine learning