Lecture Notes for Machine Learning: Learning Theory, Regularization and Cross-ValidationIn machine learning, overfitting and underfitting describe two extremes of model performance, where the model fails to generalize well due…Dec 10, 2024Dec 10, 2024
Lecture Notes for Machine Learning: Gaussian Discriminant AnalysisThe following content is summarized from Leture5 of the Course Stanford CS229.Sep 26, 2024Sep 26, 2024
Lecture Notes for Machine Learning: Generalized Linear ModelsThe following content is summarized from Lecture 4 of the Course Stanford CS229.Sep 5, 2024Sep 5, 2024
Lecture Notes for Machine Learning: Locally Weighted & Logistic RegressionThe following content is summarized from Lecture 3 of the Course Stanford CS229.Aug 29, 2024Aug 29, 2024
決策樹(Decision Tree)在機器學習中，決策樹是一種可以做回歸與分類的監督式學習(Supervised learning)的模型，根據訓練資料建構出的模型為樹狀結構，依據訓練出來的模型對新樣本進行預測。Jan 31, 2023Jan 31, 2023
