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 to marketing to 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, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
✔ Author(s): Gareth James
✔ Title: An Introduction to Statistical Learning
✔ Rating : 4.6 out of 5 base on (1765 reviews)
✔ ISBN-10: 1461471370
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about An Introduction to Statistical Learning by Gareth James
Cedrica Ingram
Follow the gripping tale of a detective unraveling a complex web of crime and corruption. The author's detailed writing and intricate plotting make for a suspenseful read. Each clue and revelation adds to the tension, keeping you on the edge of your seat. The characters are well-developed, with motivations that feel real and compelling. The climax delivers a satisfying resolution to the mystery. A must-read for thriller enthusiasts.
Aubrie Todd
Explore the complexities of human relationships in this beautifully crafted novel. The author's nuanced writing and rich character development make for an engaging read. Each storyline intertwines seamlessly, creating a tapestry of interconnected lives. The emotional depth and realistic portrayal of life's challenges resonate deeply. It's a book that stays with you long after you've finished reading. Perfect for fans of literary fiction.
Goldarina Wilson
Follow the heartwarming journey of a group of friends navigating life's challenges together. The author's empathetic writing and well-developed characters create a deeply emotional experience. Each chapter explores themes of friendship, love, and resilience with sensitivity. The plot's twists and turns keep you engaged throughout. It's a story that celebrates the bonds that connect us. Perfect for readers who enjoy stories about friendship and community.
