07
15 篇七月
Hidden Markov Model (HMM) —— 隐马尔可夫模型 Machine Learning Expectation-Maximization Algorithm —— EM算法 Machine Learning K-Means Clustering —— 聚类算法 Machine Learning Principal Component Analysis (PCA) —— 主成分分析 Machine Learning XGBoost & LightGBM —— 梯度提升框架 Machine Learning Gradient Boosting Machine (GBM) —— 梯度提升机与加法模型 Machine Learning Adaptive Boosting (AdaBoost) —— 自适应提升 Machine Learning Bagging & Random Forest —— 随机森林 Machine Learning Decision Tree —— 决策树 Machine Learning Kernel Trick —— 核技巧与常用核函数 Machine Learning Support Vector Machine (SVM) —— 支持向量机 Machine Learning Naive Bayes —— 朴素贝叶斯 Machine Learning K-Nearest Neighbor (KNN) —— K-近邻 Machine Learning Logistic Regression —— 逻辑回归与Softmax多分类 Machine Learning Linear Regression —— 线性回归 Machine Learning