SUMMARY.md

Summary

• 機器學習：使用Python
  • 簡介Scikit-learn 機器學習
• 分類法 Classification
  • Ex 1: Recognizing hand-written digits
  • EX 2: Normal and Shrinkage Linear Discriminant Analysis for classification
  • EX 3: Plot classification probability
  • EX 4: Classifier Comparison
  • EX 5: Linear and Quadratic Discriminant Analysis with confidence ellipsoid
• 特徵選擇 Feature Selection
  • Ex 1: Pipeline Anova SVM
  • Ex 2: Recursive Feature Elimination
  • Ex 3: Recursive Feature Elimination with Cross-Validation
  • Ex 4: Feature Selection using SelectFromModel
  • Ex 5: Test with permutations the significance of a classification score
  • Ex 6: Univariate Feature Selection
  • Ex 7: Comparison of F-test and mutual information
• 互分解 Cross Decomposition
• 通用範例 General Examples
  • Ex 1: Plotting Cross-Validated Predictions
  • Ex 2: Concatenating multiple feature extraction methods
  • Ex 3: Isotonic Regression
  • Ex 4: Imputing missing values before building an estimator
  • Ex 5: ROC Curve with Visualization API
  • Ex 7: Face completion with a multi-output estimators
• 群聚法 Clustering
  • EX 1: Feature_agglomeration.md
  • EX 2: Mean-shift 群聚法.md
  • EX 6: 以群聚法切割錢幣影像.md
  • EX 10:_K-means群聚法
  • EX 12: Spectral clustering for image segmentation
  • Plot Hierarchical Clustering Dendrogram
• 支持向量機
  • EX 1:Non_linear_SVM.md
  • [EX 4: SVM_with _custom _kernel.md](SVM/EX4_SVM_with _custom _kernel.md)
• 機器學習資料集 Datasets
  • Ex 1: The digits 手寫數字辨識
  • Ex 2: Plot randomly generated classification dataset 分類數據集
  • Ex 3: The iris 鳶尾花資料集
  • Ex 4: Plot randomly generated multilabel dataset 多標籤數據集
• 應用範例 Application
  • 用特徵臉及SVM進行人臉辨識實例
  • 維基百科主要的特徵向量
  • 波士頓房地產雲端評估(一)
  • 波士頓房地產雲端評估(二)
• 類神經網路 Neural_Networks
  • Ex 1: Visualization of MLP weights on MNIST
  • Ex 2: Restricted Boltzmann Machine features for digit classification
  • Ex 3: Compare Stochastic learning strategies for MLPClassifier
  • Ex 4: Varying regularization in Multi-layer Perceptron
• 決策樹 Decision_trees
  • Ex 1: Decision Tree Regression
  • Ex 2: Multi-output Decision Tree Regression
  • Ex 3: Plot the decision surface of a decision tree on the iris dataset
  • Ex 4: Understanding the decision tree structure
• 機器學習：使用 NVIDIA JetsonTX2
  • 從零開始
  • 讓 TX2 動起來
  • 安裝OpenCV
  • 安裝TensorFlow
• 廣義線性模型 Generalized Linear Models
  • Ex 3: SGD: Maximum margin separating hyperplane
• 模型選擇 Model Selection
  • Ex 3: Plotting Validation Curves
  • Ex 4: Underfitting vs. Overfitting
• 半監督式分類法 Semi-Supervised Classification
  • Ex 3: Label Propagation digits: Demonstrating performance
  • Ex 4: Label Propagation digits active learning
  • Decision boundary of label propagation versus SVM on the Iris dataset
• Ensemble_methods
  • IsolationForest example
• Miscellaneous_examples
  • Multilabel classification
• Nearest_Neighbors
  • Nearest Neighbors Classification