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강의소개/인공지능 소개 | 강의 소개 및 인공지능 소개 | ![]() ![]() |
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선형대수 리뷰 | 머신러닝을 위한 선형대수 리뷰 | ![]() ![]() |
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확률통계 리뷰 | 머신러닝을 위한 확률통계 리뷰 | ![]() ![]() |
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Decision Theory | classification 관련 decision theory | ![]() ![]() |
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Decision Theory_part 1 | classification 관련 decision theory | ![]() |
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Decision Theory_part 2 | classification 관련 decision theory | ![]() |
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Decision Theory_part 3 | classification 관련 decision theory | ![]() |
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Decision Theory_disc_func. | classification 관련 decision theory | ![]() |
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Information Theory | Information Theory | ![]() ![]() |
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Information Theory | Information Theory | ![]() |
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분류 | 분류알고리즘(kNN, Naïve Bayes Classifier, decision tree, rnadom forest, ensemble learning 등) | ![]() ![]() |
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분류_kde_knn | 분류알고리즘(kNN, Naïve Bayes Classifier, decision tree, rnadom forest, ensemble learning 등) | ![]() |
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분류_NB_DT_part1 | 분류알고리즘(kNN, Naïve Bayes Classifier, decision tree, rnadom forest, ensemble learning 등) | ![]() |
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분류_NB_DT_part2 | 분류알고리즘(kNN, Naïve Bayes Classifier, decision tree, rnadom forest, ensemble learning 등) | ![]() |
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Clustering | kMeans, mixture of Gaussian, expectation maximization | ![]() ![]() |
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Clustering_kMeans | kMeans, mixture of Gaussian, expectation maximization | ![]() |
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Clustering_MoG_EM_part1 | kMeans, mixture of Gaussian, expectation maximization | ![]() |
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Clustering_MoG_EM_part2 | kMeans, mixture of Gaussian, expectation maximization | ![]() |
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Kernel Machines_PCA_MDS_part1 | kernel machines (PCA, MDS, LDA) | ![]() |
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Kernel Machines_PCA_MDS_part2 | kernel machines (PCA, MDS, LDA) | ![]() |
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Kernel Machines_KPCA_Manifold | kernel machines (PCA, MDS, LDA) | ![]() |
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Kernel Machines_LDA_ICA | kernel machines (kernel PCA, kernel LDA ICA) | ![]() |
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Kernel Machines | kernel machines (kernel PCA, kernel LDA ICA) | ![]() ![]() |
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추천시스템 | recommendation systems (content based and collaborative filtering) and matrix factorizations (non-negative matrix factorization, Cholesky decomposition) | ![]() ![]() |
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추천시스템_CB_CF | recommendation systems (content based and collaborative filtering) and matrix factorizations (non-negative matrix factorization, Cholesky decomposition) | ![]() |
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추천시스템_MF_part1 | recommendation systems (content based and collaborative filtering) and matrix factorizations (non-negative matrix factorization, Cholesky decomposition) | ![]() |
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추천시스템_MF_part2 | recommendation systems (content based and collaborative filtering) and matrix factorizations (non-negative matrix factorization, Cholesky decomposition) | ![]() |
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회귀 | 회귀분석 모델과 regularization (Ridge regression, Lasso regression) | ![]() ![]() |
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회귀_ML_regularization | 회귀분석 모델과 regularization (Ridge regression, Lasso regression) | ![]() |
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회귀_RBFN | 회귀분석 모델과 regularization (Ridge regression, Lasso regression) | ![]() |
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신경망 | 신경망의 역사와 학습 알고리즘 | ![]() ![]() |
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신경망 | 신경망의 역사와 학습 알고리즘 | ![]() |
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최적화 | 최적화(gradient descent, Networn method, Trust-region) | ![]() ![]() |
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최적화_gradient | 최적화(gradient descent, Networn method, Trust-region) | ![]() |
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최적화_Newto | 최적화(gradient descent, Networn method, Trust-region) | ![]() |
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최적화/딥러닝 | Optimization (Natural gradient 와 다른 최적화 관련 이슈들)/딥러닝 소개 | ![]() ![]() |
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최적화/딥러닝_NG_part1 | Optimization (Natural gradient 와 다른 최적화 관련 이슈들)/딥러닝 소개 | ![]() |
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최적화/딥러닝_NG_part2 | Optimization (Natural gradient 와 다른 최적화 관련 이슈들)/딥러닝 소개 | ![]() |
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딥러닝/순환신경망 | 딥러닝(representation learning)/RNNs(알고리즘 및 응용) | ![]() ![]() |