林轩田在台大讲授的机器学习课程所使用的数据集

机器学习技法(台大-林轩田)数据集 Embedding Numerous Features [嵌入大量的特徵] -- Linear Support Vector Machine [線性支持向量機] -- Dual Support Vector Machine [對偶支持向量機] -- Kernel Support Vector Machine [核型支持向量機] -- Soft-Margin Support Vector Machine [軟式支持向量機] -- Kernel Logistic Regression [核型羅吉斯迴歸] -- Support Vector Regression [支持向量迴歸] Combining Predictive Features [融合預測性的特徵] -- Bootstrap Aggregation [自助聚合法] -- Adaptive Boosting [漸次提昇法] -- Decision Tree [決策樹] -- Random Forest [隨機森林] -- Gradient Boosted Decision Tree [梯度提昇決策樹] Distilling Hidden Features [萃取隱藏的特徵] -- Neural Network [類神經網路] -- Deep Learning [深度學習] -- Radial Basis Function Network [逕向基函數網路] -- Matrix Factorization [矩陣分解]