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25 lines
1.1 KiB
Markdown
25 lines
1.1 KiB
Markdown
# Machine Learning Resources
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## Online courses:
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* [UCL Course on RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)
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* [Stanford's Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)
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* [Stanford's Machine Learning](http://cs229.stanford.edu/)
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* [NVIDIA Deep Learning Course](https://www.youtube.com/playlist?list=PL5B692fm6--tI-ijknnVZWbXU2H4JpSYe)
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## Resources:
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* Check [papers](https://github.com/bt3gl/Machine-Learning-Resources/tree/master/Papers) folder.
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* Check [talks](https://github.com/bt3gl/Machine-Learning-Resources/tree/master/Talks) folder.
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* Check [docker images](https://github.com/bt3gl/Machine-Learning-Resources/tree/master/Code/Docker_Images) folder.
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* Check [ipython notebooks](https://github.com/bt3gl/Machine-Learning-Resources/tree/master/Notebooks) folder.
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* Check [my blog](http://bt3gl.github.io/) :).
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* Feedly with [list of blogs to follow](https://raw.githubusercontent.com/bt3gl/Machine-Learning-Resources/master/ml_ai_feedly.opml).
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## Fun:
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* [LossFunctions.tumblr](http://lossfunctions.tumblr.com/).
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