Machine Learning
150 views
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
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
Naive Bayes
Probabilistic classifier using Bayes theorem with independence
UMAP
Fast dimensionality reduction preserving local and global structure
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors
ROC Curve
Plot showing classifier performance across thresholds