Machine learning is a branch of statistics and computer science, which studies algorithms and architectures that learn from data sets.

Subcategories

There are 4 subcategories to this category.

B

• Bayesian networks

C

• Classification

E

• Evolutionary algorithms

N

• Neural networks

Articles in category "Machine learning"

There are 43 articles in this category.

AdaBoost Algorithmic learning theory B Bayesian network Bongard problem Boosting Bootstrap Aggregating C Causal Markov condition Computational learning theory Crossover (genetic algorithm) D Data clustering Decision tree Dimensionality reduction E Evolutionary algorithm Expectation-maximization algorithm

F Formal concept analysis G Gaussian process Generative Topographic Map Generative model H Helmholtz machine Hidden Markov model I Inductive bias Inductive logic programming Information bottleneck method K Kernel trick L Learning classifier system M Machine learning Markov blanket Markov decision process Multi-task learning

P Polytree Probably approximately correct learning Q Q-Learning R Reinforcement learning S Self-organizing map Simultaneous localization and mapping Stochastic gradient descent Supervised learning Support vector machine T Temporal difference learning Transduction (machine learning) U Unsupervised learning V VC dimension Vapnik Chervonenkis theory