Introduce the basic concepts of pattern recognition, Bayesian detailed, parameter estimation, linear classifiers, neural networks, stochastic methods, unsupervised learning and clustering, etc.

Pattern Recognition ppt\第10章 无监督学习和聚类.ppt
.......................\第1章 绪论.ppt
.......................\第2章 贝叶斯决策.ppt
.......................\第3章 ML估计和Bayesian参数估计.ppt
.......................\第4章 非参数估计.ppt
.......................\第5章 线性判别.ppt
.......................\第6章 神经网络.ppt
.......................\第7章 随机方法.ppt
.......................\第8章 非度量方法.ppt
.......................\第9章 独立于算法的机器学习.ppt
Pattern Recognition ppt

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