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 (70 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

An Introduction to Statistical Learning
Language: en
Pages: 617
Authors: Gareth James
Categories: Mathematics
Type: BOOK - Published: 2023-08-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast
Introduction to Statistical Machine Learning
Language: en
Pages: 535
Authors: Masashi Sugiyama
Categories: Mathematics
Type: BOOK - Published: 2015-10-31 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined
Introduction to Statistical and Machine Learning Methods for Data Science
Language: en
Pages: 169
Authors: Carlos Andre Reis Pinheiro
Categories: Computers
Type: BOOK - Published: 2021-08-06 - Publisher: SAS Institute

DOWNLOAD EBOOK

Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights fro
Statistical Machine Learning
Language: en
Pages: 525
Authors: Richard Golden
Categories: Computers
Type: BOOK - Published: 2020-06-24 - Publisher: CRC Press

DOWNLOAD EBOOK

The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzin
Hands-On Machine Learning with R
Language: en
Pages: 373
Authors: Brad Boehmke
Categories: Business & Economics
Type: BOOK - Published: 2019-11-07 - Publisher: CRC Press

DOWNLOAD EBOOK

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning met