User:Gongjinnan/Books/Machine learning and data mining 20180509

Machine learning and data mining

 * Machine Learning
 * Machine learning
 * Supervised learning
 * Regression analysis
 * Statistical classification
 * Decision tree learning
 * Ensemble learning
 * Boosting (machine learning)
 * Random forest
 * K-nearest neighbors algorithm
 * Linear regression
 * Naive Bayes classifier
 * Logistic regression
 * Perceptron
 * Relevance vector machine
 * Support vector machine
 * Cluster analysis
 * BIRCH
 * CURE data clustering algorithm
 * Hierarchical clustering
 * K-means clustering
 * Expectation–maximization algorithm
 * Dimensionality reduction
 * Factor analysis
 * Canonical correlation
 * Independent component analysis
 * Linear discriminant analysis
 * Non-negative matrix factorization
 * Principal component analysis
 * T-distributed stochastic neighbor embedding
 * Structured prediction
 * Anomaly detection
 * Artificial neural network
 * Autoencoder
 * Deep learning
 * Multilayer perceptron
 * Recurrent neural network
 * Restricted Boltzmann machine
 * Self-organizing map
 * Convolutional neural network
 * Automated machine learning
 * Reinforcement learning
 * Association rule learning
 * Feature engineering
 * Feature learning
 * Unsupervised learning
 * Bootstrap aggregating
 * Data mining