An Introduction to Statistical Learning

An Introduction to Statistical Learning
Author :
Publisher : Springer Nature
Total Pages : 617
Release :
ISBN-10 : 9783031387470
ISBN-13 : 3031387473
Rating : 4/5 (473 Downloads)

Book Synopsis An Introduction to Statistical Learning by : Gareth James

Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


An Introduction to Statistical Learning Related Books

Statistical Learning and Data Science
Language: en
Pages: 242
Authors: Mireille Gettler Summa
Categories: Business & Economics
Type: BOOK - Published: 2011-12-19 - Publisher: CRC Press

DOWNLOAD EBOOK

Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data an
Data Science Thinking
Language: en
Pages: 404
Authors: Longbing Cao
Categories: Computers
Type: BOOK - Published: 2018-08-17 - Publisher: Springer

DOWNLOAD EBOOK

This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and
It's All Analytics!
Language: en
Pages: 194
Authors: Scott Burk
Categories: Medical
Type: BOOK - Published: 2020-05-25 - Publisher: CRC Press

DOWNLOAD EBOOK

It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325
Artificial Intelligence, Machine Learning, and Data Science Technologies
Language: en
Pages: 311
Authors: Neeraj Mohan
Categories: Computers
Type: BOOK - Published: 2021-10-11 - Publisher: CRC Press

DOWNLOAD EBOOK

This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data S
Enterprise Applications, Markets and Services in the Finance Industry
Language: en
Pages: 203
Authors: Nikolay Mehandjiev
Categories: Computers
Type: BOOK - Published: 2019-05-17 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes revised selected papers from the 9th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, Fina