Machine Learning
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Markov Chain
Quick Definition
Stochastic model where events depend only on previous state
Full Definition
A stochastic model describing a sequence of events where the probability of each event depends only on the previous state.
Examples
page ranking, text generation, state transitions, random walks
Related Terms
hidden-markov-model
probability
stochastic-process
More Machine Learning Terms
Boosting
Sequentially combining weak learners correcting previous errors
Decision Tree
Tree-like model splitting data based on feature values
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
Bagging
Training models on random subsets and averaging predictions
Bayesian Optimization
Optimizing expensive functions using a probabilistic model
Random Forest
Ensemble of decision trees that votes on predictions