| Anomaly/Deviation detection |

| Association rules |

| Bagging |

| Bayesian networks/methods |

| Boosting |

| Clustering |

| Convolutional Neural Nets |

| Decision Trees/Rules |

| Deep Learning Networks |

| EM |

| Ensemble methods |

| Factor Analysis |

| Generative Adversarial Networks (GAN) |

| Genetic algorithms/Evolutionary methods |

| Gradient Boosted Machines |

| Graph / Link / Social Network Analysis |

| Hidden Markov Models (HMM) |

| K-nearest neighbors |

| Markov Logic Networks |

| Neural networks (not DL) |

| Optimization |

| PCA |

| Random Forests |

| Recurrent Neural Networks (RNN) |

| Regression |

| Reinforcement Learning |

| Support Vector Machine (SVM) |

| Singular Value Decomposition (SVD) |

| Statistics - Descriptive |

| Survival Analysis |

| Text Mining |

| Time series/Sequence analysis |

| Visualization |

| Uplift modeling |

| Other methods |

*Your affiliation:* |

| Industry/Self-employed |

| Researcher/Academia |

| Student |

| Government/non-profit |

| other |