User:Jayvanzyl/Books/Data Science: Basic Machine Learning

Data Science: Basic Machine Learning

 * Machine learning
 * Artificial intelligence
 * Mathematical model
 * Arthur Samuel
 * Data mining
 * Supervised learning
 * Regression analysis
 * Reinforcement learning
 * Decision tree learning
 * Linear regression
 * Naive Bayes classifier
 * K-nearest neighbors algorithm
 * Probably approximately correct learning
 * Support vector machine
 * Random forest
 * Bayesian statistics
 * Backpropagation
 * Artificial neural network
 * Information retrieval
 * Test set
 * Logistic regression
 * Linear discriminant analysis
 * Feature vector
 * Unsupervised learning
 * Cluster analysis
 * K-means clustering
 * Principal component analysis
 * Independent component analysis
 * Non-negative matrix factorization
 * Singular value decomposition
 * Multivariate analysis
 * Statistical classification
 * Feature engineering
 * Feature learning
 * Bayesian network
 * Deep learning