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Apr 17

Machine Learning – links

Machine learning intro:

http://habrahabr.ru/company/yandex/blog/208034/ – comprehensive lection from Yandex (in russian)
http://ciml.info/ – A Course in Machine Learning by Hal Daumé III
http://alex.smola.org/teaching/cmu2013-10-701/index.html – Intro to Machine Learning ’13, by Carnegie Mellon University
http://alex.smola.org/teaching/berkeley2012/ – Scalable Machine Learning ’12, Berkley
http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=MachineLearning – Machine Learning from Andrew Ng
http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial – brief overview of advanced concepts
solution for above cources – https://github.com/danluu/UFLDL-tutorial
http://cs229.stanford.edu/materials.html – Machine Learning from Stanford
http://machinelearningmastery.com/start-here/ – practical recommendation to apply methods of ML – language, libraries, frameworks

Deep Learning:

http://deeplearning.stanford.edu/tutorial/ – great intro to world of deep learning
http://cvn.ecp.fr/personnel/iasonas/deeplearning.html – another intro
http://timothymasters.info/Deep_learning.html
http://deeplearning.net/tutorial/
http://markus.com/deep-learning-101/
https://developer.nvidia.com/deep-learning – toolset overview from NVidia
https://developer.nvidia.com/deep-learning-courses – cource from NVidia
http://cs.stanford.edu/people/karpathy/convnetjs/ – Javascript library for training Deep Learning models within browser
https://medium.com/@jiefeng/deep-learning-playbook-c5ebe34f8a1a – overview of toolset/libraries
https://jmozah.github.io/links/ – yet another links collection

Few video about deep learning:
http://techtalks.tv/deep_learning_nyu_spring_2014/
https://www.youtube.com/playlist?list=PLnDbcXCpYZ8lCKExMs8k4PtIbani9ESX3 – RE.WORK Deep Learning Summit
https://www.youtube.com/watch?v=PlhFWT7vAEw&list=PLjK8ddCbDMphIMSXn-w1IjyYpHU3DaUYw – Deep learning from Oxford

Udacity cources:

https://www.udacity.com/course/viewer#!/c-ud617/ – Intro to hadoop and reduce
https://www.udacity.com/course/ud359 – Intro to data science
https://www.udacity.com/course/viewer#!/c-ud675/ – Machine learning supervised learning
https://www.udacity.com/course/viewer#!/c-ud741/ – Machine learning – unsupervised learning
https://www.udacity.com/course/viewer#!/c-ud820/ – Reinforcement learning

Artificial Neural Networks:

http://neuralnetworksanddeeplearning.com/
http://www.theprojectspot.com/tutorial-post/introduction-to-artificial-neural-networks-part-1/7/
http://cs231n.stanford.edu/ – Convolutional Neural Networks for Visual Recognition

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