====== Machine Learning and Neural Networks links ======

  * [[https://class.coursera.org/ml-005/lecture|Coursera, Stanford, Machine Learning lectures]]
  * [[https://class.coursera.org/ml-005/lecture|Coursera, Univ. of Toronto, Neural Networks for Machine Learning]]
  * [[http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial|Unsupervised Feature Learning and Deep Learning Tutorial ]]
  * [[https://github.com/ivan-vasilev/neuralnetworks|Deep Neural Networks with GPU support, Java lib]]
  * [[http://deeplearning.net/tutorial/contents.html|DeepLearning Tutorial (Python)]]
  * [[http://www.toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks|A Deep Learning Tutorial: From Perceptrons to Deep Networks, Ivan Vasilev]]


===== Machine Learning Software =====

  * [[http://research.microsoft.com/en-us/um/cambridge/projects/infernet/default.aspx|Infer.NET]] framework for running Bayesian inference in graphical models
  * [[http://pybrain.org/|PyBrain - modular Machine Learning Library for Python]]\\
  * [[http://jmlr.org/mloss/|List of Machine Learning Open Source Software]]
  * [[http://www.cs.waikato.ac.nz/~ml/weka/index.html|Weka]]
  * [[http://scikit-learn.org/stable/index.html|Scikit-learn]] Machine Learning in Python
  * [[http://www.idiap.ch/software/bob/docs/releases/last/sphinx/html/|The Bob Project]]  free signal-processing and machine learning toolbox 


===== ML books =====

  * [[https://en.wikipedia.org/wiki/Book:Machine_Learning_-_The_Complete_Guide|WikiBook - Machine Learning - The Complete Guide]]
  * [[http://statweb.stanford.edu/~tibs/ElemStatLearn/|Statistical Learning]]
  * [[http://neuralnetworksanddeeplearning.com/index.html|Neural Networks and Deep Learning]]
  * [[http://ciml.info/|A Course in Machine Learning]] by Hal Daumé III

===== Naural Networks =====

  * [[http://leenissen.dk/fann/wp/|FANN]] Fast Artificial Neural Network Library