AI - 算法

1. PCA: Principal Component Analysis 
2. 最小二乘法 (least squares method)
1. 曲老师数学推导
2. 白俊丽的分享
3. Bagging
   1. 随机森林回归: Random Forest Regression
      1. 知乎分享
      2. Refer 1
      3. Refer 2
   2. RF transform
      1. ExtraTrees
      2. TRTE: Totally Random Tree Embedding
      3. Isolation Trees
4. Boosting
   1. Boosting definition
   2. GBDT: Gradient Boosting Decision Tree
      1. GBDT Algorithm and basic theory
      2. GBDT Algorithm theory
      3. Refer 1
      4. Detailed example and explaination
         1. Some explaination
   3. Ada Boosting
      1. 1 example and steps which lead to the formula of Ada Boosting
   4. Other Boosting - refer to Boosting definition
   5. Difference between Ada and GBDT
      1. GBDT
         1. Boosting框架+CART回归树模型+任意损失函数
      2. Ada
         1. Boosting框架+任意基学习器算法+指数损失函数
5. Logistic Regression
   1. Primary Definition
      1. Likelihood Functions (释然函数)
         1. Definition
         2. 极大似然估计
   2. 线性回归
      1. 定义and example
      2. 线性回归的损失函数推导
      3. 线行回归之似然函数解释
      4. 线性回归步骤
      5. 1. 推导2
         2. 贝叶斯回归
         3. 贝叶斯回归定义及推导