Datacadamia - Data and Co

This is a list of pages that seem to link back to the current page.

• Data Mining - Attribute (Importance|Selection) - Affinity Analysis
• Machine learning - Bootstrap aggregating (bagging)
• Statistics - Binary logistic regression
• Statistics - (Case-control|retrospective) sampling
• Data Mining - (Class|Category|Label) Target
• Data Mining - (Classifier|Classification Function)
• Statistics - Confounding (factor|variable) - (Confound|Confounder)
• Statistics - Correlation (Coefficient analysis)
• cross_validation
• Math - Derivative (Sensitivity to Change, Differentiation)
• Statistics Learning - Discriminant analysis
• discriminative_model
• Statistics - (Estimator|Point Estimate) - Predicted (Score|Target|Outcome| )
• Statistics - Factorial Anova
• Data Mining - Generative Model
• Statistics - Generalized Linear Models (GLM) - Extensions of the Linear Model
• Data Mining - (Stochastic) Gradient descent (SGD)
• Statistics - Intercept - Regression (coefficient|constant)
• least_square
• linear_regression
• logistic_regression
• Statistics - Moderator Variable (Z) - Moderation
• Data Mining - Multi-class (classification|problem)
• Statistics - Multiple Linear Regression
• Data Mining - Naive Bayes (NB)
• Statistics - (No Predictor|Mean|Null) Model
• Statistics - (Normal|Gaussian) Distribution - Bell Curve
• Machine Learning - (One|Simple) Rule - (One Level Decision Tree)
• Data Mining - (Global) Polynomial Regression (Degree)
• Data Mining - (Prediction|Guess)
• (Machine|Statistical) Learning - (Predictor|Feature|Regressor|Characteristic) - (Independent|Explanatory) Variable (X)
• Data Mining - Probit Regression (probability on binary problem)
• Data Mining - Problem
• r_squared
• Statistics - Regression
• Statistics - (Residual|Error Term|Prediction error|Deviation) (e| )
• Data Mining - Root mean squared (Error|Deviation) (RMSE|RMSD)
• Statistics - ROC Plot and Area under the curve (AUC)
• Statistics - Residual sum of Squares (RSS) = Squared loss ?
• Data Mining - (Decision) Rule
• Statistics - (Univariate|Simple|Basic) Linear Regression
• Machine Learning - (Supervised|Directed) Learning ( Training ) (Problem)
• support_vector_machine
• test_set
• Data Mining - (True Function|Truth)
• Data Mining - (two class|binary) classification problem (yes/no, false/true)
• Machine Learning - Unsupervised Learning ( Mining )
• ridge_lasso
• simple_regression
• R - Tilde Operator
• Statistics - Analysis of variance (Anova)
• Statistics - Model Building (Training|Learning|Fitting)
• Data Mining - (Function|Model)
• Statistics - Sample (Variable | Attribute | Feature)