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
Precision Recall
Metrics measuring positive prediction quality and coverage
Random Forest
Ensemble of decision trees that votes on predictions
Loss Function
Math function measuring prediction vs actual value difference
Naive Bayes
Probabilistic classifier using Bayes theorem with independence
Gradient Boosting
Sequential ensemble method correcting previous model errors
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data