1. The complete course of statistics all of statistics Carnegie Kimelon Wosseman
2. Fourth edition, "Probability Theory and Mathematical Statistics" Morris. Heidegger, Morris H.degroot, and Mark. Schevish (Mark j.shervish)
3. Introduction to Linear algebra, Gilbert. Strong--Online video tutorials are classic
4. "Numerical linear algebra", Tracy Füssen. Lloyd and David. Bao
Textbooks suitable for undergraduates
5. Predictive data analysis of machine learning Basics, John MIT. Kelleher and Brian. Mike. Nano
6. "Statistical pattern recognition" Andrew. Webber and Keith. Popular Science Tournament
7. "Numerical Optimization" by George W. Bush. Nossedal and Stephen. Wright
8. "Numerical Analysis", Timothy. Saul
9. Probability and Computation: stochastic algorithm and probability analysis, Michael. Mizzenmack and Eli. A Franco-Prussian
10. "Massively parallel processor programming" Dave. Kirk and Hu Wenmei.
Udacity Nvidia explains the Cuda calculation of open class
Recommended in-depth learning site: Do not speak the specific algorithm, only to speak the principle, to help understand the neural network
Http://www.bubuko.com/infodetail-925416.html