TY  - BOOK
AU  - Hastie, Trevor,
AU  - Tibshirani,Robert
AU  - Friedman,J.H.
TI  - The elements of statistical learning: data mining, inference, and prediction 
T2  - Springer series in statistics,
SN  - 9780387848587
AV  - Q325.75 .H37 2009eb
U1  - 006.3/1 22 22
KW  - Aprendizaje Automático Supervisado
KW  - Procesamiento Automatizado de Datos
KW  - Estadísticas
KW  - Biología -
KW  - Biología Computacional
KW  - Matemáticas -
KW  - Libros electrónicos
N1  - Second edition corrected at 7th printing in 2013; Incluye referencias bibliográficas e index (páginas 699-727); 1; Introduction --; 2; Overview of supervised learning --; 3; Linear methods for regression --; 4; Linear methods for classification --; 5; Basis expansions and regularization --; 6; Kernel smoothing methods --; 7; Model assessment and selection --; 8; Model inference and averaging --; 9; Additive models, trees, and related methods --; 10; Boosting and additive trees --; 11; Neural networks --; 12; Support vector machines and flexible discriminants --; 13; Prototype methods and nearest-neighbors --; 14; Unsupervised learning --; 15; Random forests --; 16; Ensemble learning --; 17; Undirected graphical models --; 18; High-dimensional problems: p>> N
N2  - "During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics."--Jacket
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=277008
ER  -