Springer Texts in Statistics-An Introduction to Statistical Learning with Applications in Python

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  • Engels
  • Hardcover
  • 9783031387463
  • 01 juli 2023
  • 60 pagina's
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Gareth James

"Gareth David James (born 1 December 1984) is an English cricketer. James is a right-handed batsman who bowls leg breaks. He was born at Walthamstow, London.

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Samenvatting

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years.



An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data.

Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

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Taal
en
Bindwijze
Hardcover
Oorspronkelijke releasedatum
01 juli 2023
Aantal pagina's
60

Betrokkenen

Hoofdauteur
Gareth James
Tweede Auteur
Daniela Witten

Overige kenmerken

Editie
23001
Product breedte
178 mm
Product lengte
254 mm
Verpakking breedte
178 mm
Verpakking hoogte
37 mm
Verpakking lengte
254 mm
Verpakkingsgewicht
1497 g

EAN

EAN
9783031387463
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