Predictive modeling and redundance
Regression and Classification illustrate the general idea behind Predictive Modeling : there is a group of variables (the predictors) that contain all the information necessary to predict the value that another ...
Predictive Modeling Algorithms (e.g., Stochastic Gradient Boosting) ...
As with all predictive modeling techniques some care must be taken to avoid overfitting with a neural network. Neural networks can be quite good at overfitting training data with a predictive model that does not work well on new data.
Classification and predictive modeling can be used for mining multimedia data, especially in scientific research, such as astronomy, seismology, and geoscientific research
example: ...
where he developed artificial intelligence systems for predictive models, estimates that predictive modeling techniques have saved his clients about 1.5 percent in medical costs.
 See also: Distribution, Regression, Data mining, Neural network, Multiple Linear Regression
  
|
RSS
