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machine learning 毹胳嫚霟�雼� deep learning data science 霐ル煬雼� big data statistics mathematics 靾橅暀 韱店硠 clustering eigenvector 瓿犾湢臧� graph mining 韥措煬鞀ろ劙毵� information science information theory 瓿犾湢氩№劙 data mining 旮瓣硠顷欖姷 ml dimensional reduction 搿涤��鞀ろ嫳 须岅稳攵勋划 pca 须岅稳攵勋划 logistic regression linear regression learning svd singular value decomposition spectral clustering unsupervised leaning fp growth association rule association rule mining 鞎岅碃毽�歃� k-means clustering map 鞝曣窚頇� k-means 韥措煬鞀ろ劙毵� unsupervised learning 牍勳��霃� 頃欖姷 mle graph clustering 攴鸽灅頂� 韥措煬鞀ろ劙毵� regularization graph 搿涤��鞀ろ嫳 graph cut pricipal comnonenet analysis 欤检劚攵� 攵勳劃 eigenvalue addboost 鞎勲嫟攵赌鞀ろ姼 霝滊崢韽�霠堨姢韸� hybrid model random forest 氚瓣箙 雿办澊韯� 瓿柬暀 牍呺嵃鞚错劙 雿办澊韯瓣臣顷� 雿办澊韯半秳靹� gradient 頇曤�� topic models lda lsa hdp coherence latent dirichlet allocation hierarchical dirichlet process nlp 韱犿斀 氇�雿鸽�� topic modeling 鞐瓣磤霃� 攵勳劃 apriori algorithm 攵勲�� 鞚橃偓瓴办爼雮橂�� 鞐旐姼搿滍敿 classfy 鞚橃偓瓴办爼 decision tree entropy classifier support vector machine 歆赌歆赌氩№劙毹胳嫚 svm 鞚戈车歆赌电� neural network mlp 鞚戈车鞁犼步毵� perceptron 雺措煷 雱ろ姼鞗岉伂 bagging ensemble model