“New member reading list”版本间的差异

2015年2月7日 (六) 01:20的版本

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 *[http://192.168.0.51:8887/ml/Deep%20Learning%20-%20methods%20and%20applications.pdf Deep learning, methods and applications, Li Deng, MS]
-*[Deep Learning - methods and applications]
 *[http://192.168.0.51:8887/ml/introduction%20to%20ML-nilson.pdf Introduction to ML, Nils J. Nilsson, Stanford]
 *[http://www.cs.cmu.edu/~tom/mlbook-chapter-slides.html Machine Learning course given by Tom Mitchell]
+*[http://192.168.0.51:8887/ml/278.%20Neural%20Networks%20-%20A%20Comprehensive%20Foundation%20-%20Simon%20Haykin.pdf Neural Networks, A comprehensive foundation, Simon Haykin]
+*[http://192.168.0.51:8887/ml/290.%20Numerical%20Optimization.pdf Neumerical optimization, Jorge Nocedal, Stephen J. Wright]
+*[http://192.168.0.51:8887/ml/291.%20Conjugate%20Gradient%20Algorithms%20in%20Nonconvex%20Optimization.pdf Conjugate Gradient Algorithms in Nonconvex Optimization, Radosaw Pytlak]
+*[http://192.168.0.51:8887/ml/Bayesian%20Reasoning%20and%20Machine%20Learning.pdf Bayesian Reasoning and Machine Learning, David Barber]
+*[http://192.168.0.51:8887/ml/Machine%20learning%20an%20algorithmic%20perspective%282009%29.pdf Machine Learning, an algorithm perspective, Stephen Marsland]
 ==Speech Processing==