Методи

Linear Regression

Logistic Regression

Jackknife Regression

Density Estimation

Confidence Interval

Test of Hypotheses

Pattern Recognition

Clustering

Supervised Learning

Time Series

Decision Trees

Random Numbers

Monte-Carlo

Bayesian Statistics

Naive Bayes

Principal Component Analysis – (PCA)

Ensembles

Neural Networks

Support Vector Machine – (SVM)

Nearest Neighbors – (k-NN)

Feature Selection – (aka Variable Reduction)

Indexation / Cataloguing

(Geo-) Spatial Modeling

Recommendation Engine

Search Engine

Attribution Modeling

Collaborative Filtering

Rule System

Linkage Analysis

Association Rules

Scoring Engine

Segmentation

Predictive Modeling

Graphs

Deep Learning

Game Theory

Imputation

Survival Analysis

Arbitrage

Lift Modeling

Yield Optimization

Cross-Validation

Model Fitting

Relevancy Algorithm

Conjoint analysis

Experimental Design