CS480/680 Lecture 24: Gradient boosting, bagging, decision forests
1:07:24
CS480/680 Lecture 22: Ensemble learning (bagging and boosting)
1:01:31
CS480/680 Lecture 17: Hidden Markov Models
1:24:35
23. Gradient Boosting
1:22:38
CS480/680 Lecture 19: Attention and Transformer Networks
38:27
A friendly introduction to linear algebra for ML (ML Tech Talks)
1:53:05
Variational Inference: Foundations and Modern Methods (NIPS 2016 tutorial)
43:32
Vincent Warmerdam: Winning with Simple, even Linear, Models | PyData London 2018
48:27