Metode de Aproximare si Simulare

https://www.youtube.com/playlist?list=PLUgZaFoyJafgb_v1ad0lKU-di7XkjSGC2

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https://github.com/aymericdamien/TensorFlow-Examples?utm_content=buffer391d4&utm_medium=social&utm_source=plus.google.com&utm_campaign=buffer

http://machinelearningmastery.com/best-machine-learning-resources-for-getting-started/

http://www.datasciencecentral.com/profiles/blogs/7-free-machine-learning-courses

http://yupi.md/lista-de-40-de-site-uri-educationale-absolut-gratuite/

http://yann.lecun.com/exdb/lenet/

http://www.cs.cmu.edu/~tom/mlbook.html

http://www.stat.cmu.edu/~larry/=sml/

http://gitxiv.com/category/dimensionality-reduction

http://www.kdnuggets.com/software/index.html

https://matthewearl.github.io/2015/07/28/switching-eds-with-python/

http://www.analyticsvidhya.com/blog/2014/11/data-science-projects-learn/

http://datasciencemasters.org/

http://mynasadata.larc.nasa.gov/

http://www.cs.waikato.ac.nz/ml/weka/book.html

https://www.mindmeister.com/523461652/data-mining-machine-learning-resources

https://github.com/vhf/free-programming-books/blob/master/free-programming-books.md#java

http://www.rightrelevance.com/search/articles/hero?article=f7425297d831f31484e26902c0f05fc5d6a23871&query=machine%20learning&taccount=ml_toparticles

https://jixta.files.wordpress.com/2015/11/machinelearningalgorithms.png

http://dsindex.github.io/

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https://github.com/marcotcr/lime

http://playground.tensorflow.org/#activation=tanh&regularization=L1&batchSize=10&dataset=circle&regDataset=reg-plane&learningRate=0.03&regularizationRate=0.003&noise=0&networkShape=4,3&seed=0.14533&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=true&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification

http://electronicsforu.com/resources/cool-stuff-misc/11-free-ebooks-help-learn-algorithm

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https://code.facebook.com/posts/181565595577955/introducing-deeptext-facebook-s-text-understanding-engine/

http://www.kdnuggets.com/2016/06/difference-between-deep-learning-regular-machine-learning.html#.V1G3Dixcj3o.facebook

http://blog.claymcleod.io/2016/06/01/The-truth-about-Deep-Learning/

http://www.mathworks.com/solutions/machine-learning/

http://electronicsforu.com/resources/15-free-ebooks-c-programming

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http://www.rightrelevance.com/search/articles/hero?article=811e5af0369862400c382d22f1e3ee1da1e7fd9d&query=Machine%20Learning&taccount=ml_toparticles

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