1 线性代数 符号和基础知识 矩阵乘法 运算性质 矩阵微分 2 概率论 概率空间 随机变量及其分布 随机变量的数字特征 条件期望

1 统计学习的定义 2 统计模式识别的应用案例 3 统计模式识别系统框架与设计周期 统计模式识别系统框架 统计模式识别设计周期 4 一个案例 5 基本概念 6 机器学习在人工智能中的位置

1 K-Means Clustering Algorithm 2 PageRank

1 Density Estimation 2 Histogram Method 3 Parzen Window 4 k-nearest neighbors 5 Summary of nonparametric models

1 Probability Density Estimation 2 Maximum Likelihood Estimation 3 MAP estimation 4 Bayesian estimation 5 Expectation maximization

1 Basic principle 2 Multiple classifier combination 3 Bagging 4 Boosting

1 History 2 Preparatory knowledge 3 XOR problem 4 MLP is doing what? 5 Tilling Algorithm 6 Learning algorithm for MLP of differentiable activation function

1 A problem in perceptron 2 Linear SVM in LSC 3 SVM in LIC 4 Kernel Functions 5 Nonlinear SVM 6 SMO Algorithm

1 Preparatory knowledge 2 Perceptron concept 3 Learning strategies of perceptron 4 Perceptron learning algorithm 5 Convergence of perceptron learning algorithm 6 Dual form of perceptron learning algorithm

1 A Case 2 Least Squares Method 3 From Linear to Nonlinear: Using Linear Model 4 How Regression Got Its Name 5 Probability Interpretation 6 Bias–Variance Dilemma