Difference between revisions of "Machine Learning"
From MIPAL
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* [http://jalammar.github.io/about/ Excellent Blog on NLP (Transformers and BERT)] | * [http://jalammar.github.io/about/ Excellent Blog on NLP (Transformers and BERT)] | ||
* [http://snap.stanford.edu/proj/embeddings-www/ Graph Neural Networks] WWW-18 Tutorial | * [http://snap.stanford.edu/proj/embeddings-www/ Graph Neural Networks] WWW-18 Tutorial | ||
| + | |||
| + | * [http://www.cs.bham.ac.uk/~jxb/inc.html Introduction to Neural Computation] | ||
| + | * [https://developer.nvidia.com/deep-learning-courses Nvidia deep learning course (free with exercise)] | ||
| + | * [http://deeplearning.net/tutorial/contents.html Deep learning tutorial] | ||
| + | * [http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html Hugo Larochelle's Neural Networks course (excellent videos)] | ||
| + | * [http://cs231n.stanford.edu/ Stanford CNN course (Spring 2015)] | ||
| + | * [http://colah.github.io/posts/2015-08-Understanding-LSTMs/ Excellent blog on LSTM] | ||
| + | * [http://incompleteideas.net/book/bookdraft2018mar21.pdf Introduction to Reinforcement Learning (Sutton & Barto Book)] | ||
| + | * [https://lilianweng.github.io/lil-log/2018/04/08/policy-gradient-algorithms.html Excellent blog post on Policy Gradient Algorithms (Lilian Weng)] | ||
| + | * [https://deepgenerativemodels.github.io/ Stanford Course on Deep Generative Models (Fall 2018-2019)] | ||
Revision as of 00:48, 26 October 2019
- Course for Machine Learning by Carl Edward Rasmussen and Zoubin Ghahramani
- Course for Machine Learning by David Sontag
- Course for Machine Learning by Milos Hauskrecht
- Advanced topics in Machine Learning by Milos Hauskrecht
- Course for Markov Random Fields by Kyomin Jung
- Tutorial on particle filtering and smoothing
- Sequential Monte Carlo Methods & Particle Filters Resources
- Deep learning tutorial page
- Video lecture on Graphical Models by Eric Xing@CMU
- Excellent Blog on NLP (Transformers and BERT)
- Graph Neural Networks WWW-18 Tutorial
- Introduction to Neural Computation
- Nvidia deep learning course (free with exercise)
- Deep learning tutorial
- Hugo Larochelle's Neural Networks course (excellent videos)
- Stanford CNN course (Spring 2015)
- Excellent blog on LSTM
- Introduction to Reinforcement Learning (Sutton & Barto Book)
- Excellent blog post on Policy Gradient Algorithms (Lilian Weng)
- Stanford Course on Deep Generative Models (Fall 2018-2019)
