Machine Learning Resources

Video Lectures:
One of the best lecture on Machine Learning:
Neural Networks for Machine Learning - by Geoffrey Hinton

Joseph Turian on Word Representation

Deep Learning:
Learning Deep Architectures for AI - by Yoshua Bengio
Deep Learning Resources

Top Three Researchers:
Yoshua Bengio homepage
Geoffrey Hinton homepage
Yann LeCun homepage

Leading Researchers:
Joseph Turian Word Representation

• Word Representation: A simple and general method for semi-supervised learning

Mikolov Word2Vec

• Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. In Proceedings of Workshop at ICLR, 2013. 
• Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed Representations of Words and Phrases and their Compositionality. In Proceedings of NIPS, 2013.
• Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. Linguistic Regularities in Continuous Space Word Representations. In Proceedings of NAACL HLT, 2013.

Andriy Mnih

• Learning word embeddings efficiently with noise-contrastive estimation
• A Scalable Hierarchical Distributed Language Model

Other Interesting Publications:

• Brown Clustering