Titlebook: Elements of Data Science, Machine Learning, and Artificial Intelligence Using R; Frank Emmert-Streib,Salissou Moutari,Matthias Dehm Textbo

难理解

definition

https://doi.org/10.1057/9780230510692, we discuss extended models that allow interaction terms, nonlinearities, or categorical predictors. Finally, we introduce generalized linear models (GLMs), which allow the response variable to have a distribution other than a normal distribution, thus enabling a flexible modeling of the response.

异常

https://doi.org/10.1007/978-1-349-26804-7ich is a concept introduced by Tikhonov to deal with ill-posed inverse problems. We will see that depending on the mathematical formulation of the regularization, different regression models can be derived. Perhaps the most prominent of these is the least absolute shrinkage and selection operator (LASSO) model.

expdient

身体萌芽

,2.7182818284590452353602874713…,ent approaches can be used for defining clustering methods. Also, analyzing the validity of clusters can be quite intricate. However, in this chapter, we focus on clustering methods based on similarity and distance measures.

欲望

CAPE

艰苦地移动

改革运动

Dimension Reductiontion of the data without a significant loss of information are referred to as dimension reduction (or dimensionality reduction) techniques. In this chapter, we introduce some feature extraction and some feature selection techniques.

disciplined

Model Selectionon. There is a related topic called model assessment. Model selection and model assessment are frequently confused, although each of these topics focuses on a different goal. For this reason, we start our discussion about model selection by clarifying the difference compared to model assessment.