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
Random Forest
Ensemble of decision trees that votes on predictions
Boosting
Sequentially combining weak learners correcting previous errors
Regularization
Techniques constraining model complexity to prevent overfitting
Time Series Analysis
Analyzing time-ordered data for patterns and forecasting
Loss Function
Math function measuring prediction vs actual value difference
Reinforcement Learning ML
Learning optimal decisions through environment interaction