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22 lines
533 B
Plaintext
22 lines
533 B
Plaintext
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Decision Trees
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Support Vector Machines (SVM)
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Neural Networks
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Naïve Bayes
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k-Nearest Neighbors (k-NN)
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Gradient Boosting Machines (GBM)
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Random Forests
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DBSCAN
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Gaussian Mixture Models (GMM)
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Principal Component Analysis (PCA)
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Independent Component Analysis (ICA)
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t-SNE
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Latent Dirichlet Allocation (LDA)
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Association Rules (Apriori, FP-Growth)
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Policy Gradients
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Actor-Critic Methods
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Proximal Policy Optimization (PPO)
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Monte Carlo Tree Search (MCTS)
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SARSA
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Temporal Difference Learning (TD Learning)
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Trust Region Policy Optimization (TRPO)
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