An
Introduction to statistical learning
: with applications in R
James, Gareth
Springer
text
usa
New York [etc.]
Springer
2017
2018
2018
####
Corrected at 8th. printing 2017
monographic
eng
440 p.:
Statistical learning refers to a vast set of tools for understanding data.These tools can be classified as supervised or unsupervised. Broadly speaking, supervised statistical learning involves building a statistical model for predicting, or estimating, an output based on one or more inputs.Problems of this nature occur in fields as diverse as business, medicine, astrophysics, and public policy. With unsupervised statistical learning, there are inputs but no supervising output; nevertheless we can learn relationships and structure from such data. To provide an illustration of some applications of statistical learning, we briefly discuss three real-world data sets that are considered in this book
Gareth James...[et al.]
Modelos estadísticos
Modelos econométricos
Estadística de muestreo
Muestreos
Tablas estadísticas
Ejercicios
937.42
978-1-4614-7137-0
978-1-4614-7138-7 (eBook)
2013936251
MAP
180625
20180705141244.0
MAP20180018671
spa