Deep learning starting….

To start with deep learning:

http://deeplearning.net/

http://deeplearning.stanford.edu/

http://ufldl.stanford.edu/tutorial/supervised/ConvolutionalNeuralNetwork/

http://www.cs.toronto.edu/~hinton/

http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial

http://www.quora.com/Whats-the-most-effective-way-to-get-started-with-Deep-Learning

https://www.kaggle.com/c/facial-keypoints-detection/details/deep-learning-tutorial

http://www.kaggle.com/forums/f/15/kaggle-forum/t/9452/advice-on-learning-deep-learning-neural-networks

http://www.kdnuggets.com/2014/05/learn-deep-learning-courses-tutorials-overviews.html

Intuitive and practical….. PCA, SVD, dimensionality reduction and all that…..

Links to places than explain well how to do PCA and how to understand it…….

http://stats.stackexchange.com/questions/2691/making-sense-of-principal-component-analysis-eigenvectors-eigenvalues

http://math.stackexchange.com/questions/1146/intuitive-way-to-understand-principal-component-analysis

http://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf

http://www.cerebralmastication.com/2010/09/principal-component-analysis-pca-vs-ordinary-least-squares-ols-a-visual-explination/