An Introduction to Statistical Learning

Livro digital

Título:
An Introduction to Statistical Learning

Autor:
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

Categoria:
Tecnologia > Dados

Doador:
Raffaello D. N.

Sinopse:
An Introduction to Statistical Learning presents statistical learning as a practical toolkit for modeling and prediction, with a table of contents that moves from linear regression and classification into resampling, model selection, regularization, tree-based methods, support vector machines, unsupervised learning, and applications in R. Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani write for readers who need modern statistical methods without starting from advanced matrix algebra. The book pairs conceptual explanations with real data examples and R labs, making techniques such as logistic regression, cross-validation, the bootstrap, lasso, random forests, principal components, and clustering easier to apply. This is one of the most useful entry points into statistical learning for programmers, analysts, and students moving toward machine learning. It keeps the mathematical backbone visible while staying focused on interpretation, implementation, and practical modeling judgment.