機器學習 (Machine Learning) === 概論 --- - [Bias-Variance Tradeoff](/KTIN8QP4RkODDIDaeSCYrQ) - [Applied Probability Models](/SQKhjEpZScWX_DsoyXHPXw) - [Probability Inequalities](/pmPKwX5uQt2LpM4J5kl-vw) - [Glivenko-Cantelli Theorem](/gPVomcQXQG-0LwiwRMNCtw) - [EM演算法](/Kp67V_liQzGmy_VgwQ1ybw?sync=&type=) - [MM Algorithm](/g5s_KLSPRECQKlV8RjmqhA) 非監督式學習 (Unsupervised Learning) --- - [主成份分析 (Principle Component Analysis)](/Cz_R8-spRkunKQ9AHFUqLA) - [Generlaized Principle Component](/ZFwnFLPTQcyxVKwz43an8g) - [集群分析 (Cluster Analysis)](/593ZDO50Q4eS7mqJ8kD18g) 監督式學習 (Supervised Learning) --- - [k近鄰算法 (kNN)](/f68gQrmPQPaGu5q2OlGXvg) - [線性模型與正則化 (Linear Models and Regularization)](/OosWEyPaSguvJCYr5hCLNQ?view) - [羅吉斯回歸 (Logistic Regression)](/Vp0ma1lySjKPEQqx3coVxw) - [Zero-Inflated Model](/YNYgSiqcSxq_bVfbZqyVwQ) - [Linear Discriminant Analysis](/QHdd3NVTRM2ZMZMr3uUbXw) - [支撐向量機 (Support Vector Machine, SVM)](/fUpJZc9LQa2XW8iplmxAHQ) - [Classification and Regression Tree (CART)](/UX_6Hg7aR-eNROzQFUGgfw) - [XGBoost – A Scalable Tree Boosting System](/6zKf-SycSPalVNh3XJu_AQ) - [Methods for Correlated Data](/KXv6LnEdR92Oqj0gsXu2Yg) 倖存分析 (Survival Analysis) --- 因果推論 (Causal Inference) --- - [History of Causal Inference](/bIzTuerqTIKoJaJW89O_wg) - [建立因果推論的四部曲](/Sqk0FfmdRGyA9yHHLAttGQ) - 因果革命 - [因果階梯 (The Ladder of Causation)](/U0wkPlL4S0O-_lwhMFYOPg) - [因果推論的創生 (The Genesis of Causal Inference)](/gt_jjqKoT8iLUGhfpYCjWw) - [從證據到原因 (From Evidence to Causes)](/Cd4ZAF2YTByGN5E5CNLroA)
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