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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
互分解 Cross Decomposition
通用範例 General Examples
群聚法 Clustering
支持向量機
機器學習資料集 Datasets
應用範例 Application
類神經網路 Neural_Networks
決策樹 Decision_trees
機器學習：使用 NVIDIA JetsonTX2
廣義線性模型 Generalized Linear Models
模型選擇 Model Selection
半監督式分類法 Semi-Supervised Classification
Ensemble_methods
Miscellaneous_examples
Nearest_Neighbors
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分類法 Classification
Here are the articles in this section:
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
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簡介Scikit-learn 機器學習
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Ex 1: Recognizing hand-written digits
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