Difference between revisions of "Regression"
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[http://www.youtube.com/results?search_query=Regression+artificial+intelligence YouTube search...] | [http://www.youtube.com/results?search_query=Regression+artificial+intelligence YouTube search...] | ||
[http://www.google.com/search?q=Regression+machine+learning+ML ...Google search] | [http://www.google.com/search?q=Regression+machine+learning+ML ...Google search] | ||
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| + | * [[Math for Intelligence]] ... [[Finding Paul Revere]] | ||
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* [[Linear Regression]] | * [[Linear Regression]] | ||
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* [[Lasso Regression]] | * [[Lasso Regression]] | ||
* [[Elastic Net Regression]] | * [[Elastic Net Regression]] | ||
| − | * [[Bayesian Linear Regression]] | + | * [[Bayes#Bayesian Linear Regression|Bayesian Linear Regression]] |
* [[Logistic Regression (LR)]] | * [[Logistic Regression (LR)]] | ||
* [[Support Vector Regression (SVR)]] | * [[Support Vector Regression (SVR)]] | ||
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* [[One-class Support Vector Machine (SVM)]] | * [[One-class Support Vector Machine (SVM)]] | ||
* [[Gradient Boosting Machine (GBM)]] | * [[Gradient Boosting Machine (GBM)]] | ||
| + | * [[Symbolic Regression]] | ||
| + | ______________________________________ | ||
set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). More specifically, regression analysis helps one understand how the typical value of the dependent variable (or 'criterion variable') changes when any one of the independent variables is varied, while the other independent variables are held fixed. [http://en.wikipedia.org/wiki/Regression_analysis Regression Analysis | Wikipedia] | set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). More specifically, regression analysis helps one understand how the typical value of the dependent variable (or 'criterion variable') changes when any one of the independent variables is varied, while the other independent variables are held fixed. [http://en.wikipedia.org/wiki/Regression_analysis Regression Analysis | Wikipedia] | ||
Latest revision as of 10:58, 4 June 2023
YouTube search... ...Google search
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- Linear Regression
- Ridge Regression
- Lasso Regression
- Elastic Net Regression
- Bayesian Linear Regression
- Logistic Regression (LR)
- Support Vector Regression (SVR)
- Ordinal Regression
- Poisson Regression
- Tree-based...
- General Regression Neural Network (GRNN)
- One-class Support Vector Machine (SVM)
- Gradient Boosting Machine (GBM)
- Symbolic Regression
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set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). More specifically, regression analysis helps one understand how the typical value of the dependent variable (or 'criterion variable') changes when any one of the independent variables is varied, while the other independent variables are held fixed. Regression Analysis | Wikipedia
