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機器學習算法C/C++實現 [CPP_Machine_Learning]
This project forked from jash-git/cpp_machine_learning
機器學習算法C/C++實現 [CPP_Machine_Learning]
機器學習算法C/C++實現 [CPP_Machine_Learning] 資料來源:https://blog.csdn.net/u010865478/article/details/71338617 https://github.com/myazi/myLearn GITHUB:https://github.com/jash-git/CPP_Machine_Learning 從線性到非線性模型 1,線性回歸,嶺回歸,套索回歸,局部加權線性回歸 [CPP_LineReg_test 實測線性回歸專案] 2,物流回歸,SOFTMAX回歸,最大熵模型 3,廣義線性模型 4,費希爾線性判別和線性感知機 5,三層神經網絡 6,支持向量機 統計概率模型 1,高斯判別分析 2,樸素貝葉斯 3,隱馬爾可夫模型 如圖4所示,最大熵馬爾科夫模型 5,條件隨機場 6,馬爾科夫決策過程 樹模型 1,決策樹ID3,C4.5,CART 2,隨機森林RF 3,Adaboost的 4,GBDT 5,XGboost 6,孤立森林(異常檢測) 聚類模型 1,層次聚類 2,原型聚類-K-裝置 3,模型聚類-GMM 4,EM算法-LDA主題模型 5,密度聚類-DBSCAN 6,圖聚類 - 譜聚類 特徵工程 1,特徵工程 2,特徵提取 3,特徵選擇 學習理論 1,基本概念 2,PAC理論 3,VC維 如圖4所示,極大似然,最大後驗概率,貝葉斯估計 5,模型選擇與評價評價 6,模型診斷調參 深度學習 。。 哈希學習 。。 自然語言處理 。。 搜索推薦 。。
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