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
Clustering
Grouping similar data points based on feature similarity
AdaBoost
Combining weak classifiers with adaptive sample weighting
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Hidden Markov Model
Statistical model with hidden states and observable outputs
Gradient Descent
Optimization algorithm minimizing loss by steepest descent
Regularization
Techniques constraining model complexity to prevent overfitting