Network based computing
coursera.org: Machine Learning by Andrew Ng.
The course provides excellent background with practical exercises. No previous experience with Machine Learning required.
coursera.org: Neural Networks for Machine Learning by Geoffrey Hinton.
The course provides comprehensive experience with Neural Networks.
coursera.org: Computational Neuroscience by Adrienne Fairhall, Rajesh P. N. Rao.
The course helps to understand how human/animal brain does (which Artificial Neural Networks are mimic to). It allows to understand how NN mimic the brain (which behaviour is simplified, what is omitted). It could give your ideas how to improve current NN models which still in state of art today.
stanford.edu: artificial intelligence | machine learning
This course provides a broad introduction to machine learning and statistical pattern recognition
Unsupervised Feature Learning and Deep Learning by Stanford University
This tutorial will teach you the main ideas of Unsupervised Feature Learning and Deep Learning
Neural Information Processing Systems Conference
It has the latest updates for Machine Learning and Neural Networks solutions from researches (and archive for previous years). Requires understanding Machine Learning and Neural Networks bases.
Know good recourse about machine learning -
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