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User:Petecl/Books/basic machine learning

From Wikipedia, the free encyclopedia
Maximum likelihood
Bayesian brain
Bayesian network
Dempster–Shafer theory
Gradient boosting
Random forest
Covariance matrix
Monte Carlo method
Fuzzy logic
Empirical Bayes method
Artificial intelligence
Decision tree learning
Data mining
Artificial neural network
Genetic algorithm
Simulated annealing
Neural network
Machine learning
Swarm intelligence
Supervised learning
Unsupervised learning
Semi-supervised learning
Reinforcement learning
Transduction (machine learning)
Learning to learn
Inductive bias
Statistical classification
Computational learning theory
List of machine learning algorithms
Association rule learning
Connectionism
Computation
Pattern recognition
Genetic programming
Evolutionary computation
Evolutionary algorithm
Inductive logic programming
Cluster analysis
Graphical model
Random variables
Conditional independence
Support vector machine
Bioinformatics
K-nearest neighbor algorithm
Random variable
Expectation-maximization algorithm