An Introduction to Statistical Learning:

An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics) Gareth James , Daniela Witten , Trevor Hastie Additional Author mixed material bibliography Islamabad Al Hafiz Traders 2023 en English 607 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. Gareth James , Daniela Witten , Trevor Hastie Computer Science Data Science 1. Computer Science 2. Software Engineering 3. Dat Data Science Information Technology 519.5-006.312 9783031387463 NUML LIBRARY RAWALPINDI (National University of Modern Languages) NUML library is the state of art which equipped “RESEARCH FACILITATION CENTRE” with latest computers for readers to access the digital library of more than 23000 research journals and 130000 online books and E-Library of NUML-Rawalpindi. 519.5-006.312 14218 14218.jpg.jpg 21470 2025-09-04 18:32:53 2026-02-03 16:31:11 machine generated