An Introduction to Statistical Learning - with Applications in Python (1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Texts in Statistics
Release date:	July 2023
First published:	2023
Authors:	Gareth James • Daniela Witten • Trevor Hastie • Robert Tibshirani • Jonathan Taylor
Dimensions:	254 x 178mm (L x W)
Pages:	60
Edition:	1st ed. 2023
ISBN-13:	978-3-03-138746-3
Categories:	Books Promotions
LSN:	3-03-138746-5
Barcode:	9783031387463

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