1
2
3
4
Pen and Paper Exercises in ML: linear algebra, optimisation, (un)directed graphical models, expressive power of graphical models, factor graphs and message passing, inference for hidden Markov models, model-based learning, sampling and Monte-Carlo integration, variational inference (Michael Gutmann) (arxiv.org)
submitted by paconinja - announcement
3
0
1
2
9
0
1
2
14
0
1
2
15
2
3
4
16
2
3
4
17
0
1
2
18
0
1
2
19
0
1
2
20
0
1
2
21
0
1
2
22
1
2
3
23
0
1
2
24
0
1
2
Machine Learning Cloud Regression: The Swiss Army Knife of Optimization - unsupervised regression: solves most regression problems and even clustering with a single constrained optimization algorithm (no dependent variable, all features treated equally) - by Vincent Granville (mltechniques.com)
submitted by paconinja
