"All models are wrong, but some are useful." George E. P. Box Taxonomy of 40 Machine Learning Algorithms: - ADABOOST - ADAM OPTIMIZATION - AGGLOMERATIVE CLUSTERING - ARMA/ARIMA MODEL - BERT - CONVOLUTIONAL NEURAL NETWORK - DBSCAN - DECISION TREE - DEEP Q-LEARNING - EFFICIENTNET - FACTOR ANALYSIS OF CORRESPONDENCES - GAN - GMM - GPT-3 - GRADIENT BOOSTING MACHINE - GRADIENT DESCENT - GRAPH NEURAL NETWORKS - HIERARCHICAL CLUSTERING - HIDDEN MARKOV MODEL (HMM) - INDEPENDENT COMPONENT ANALYSIS - ISOLATION FOREST - K-MEANS - K ...
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"All models are wrong, but some are useful." George E. P. Box Taxonomy of 40 Machine Learning Algorithms: - ADABOOST - ADAM OPTIMIZATION - AGGLOMERATIVE CLUSTERING - ARMA/ARIMA MODEL - BERT - CONVOLUTIONAL NEURAL NETWORK - DBSCAN - DECISION TREE - DEEP Q-LEARNING - EFFICIENTNET - FACTOR ANALYSIS OF CORRESPONDENCES - GAN - GMM - GPT-3 - GRADIENT BOOSTING MACHINE - GRADIENT DESCENT - GRAPH NEURAL NETWORKS - HIERARCHICAL CLUSTERING - HIDDEN MARKOV MODEL (HMM) - INDEPENDENT COMPONENT ANALYSIS - ISOLATION FOREST - K-MEANS - K-NEAREST NEIGHBOUR - LINEAR REGRESSION - LOGISTIC REGRESSION - LSTM - MEAN SHIFT - MOBILENET - MONTE CARLO ALGORITHM - MULTIMODAL PARALLEL NETWORK - NAIVE BAYES CLASSIFIERS - PROXIMAL POLICY OPTIMIZATION - PRINCIPAL COMPONENT ANALYSIS - Q-LEARNING - RANDOM FORESTS - RECURRENT NEURAL NETWORK - RESNET - SPATIAL TEMPORAL GRAPH CONVOLUTIONAL NETWORKS - STOCHASTIC GRADIENT DESCENT - SUPPORT VECTOR MACHINE
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