An Introduction to Statistical Learning
  • Author : Gareth James
  • Release Date : 24 June 2013
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 426
  • ISBN 13 : 9781461471387
Ratings: 5
From 1 Voters
DOWNLOAD

Download An Introduction to Statistical Learning eBook in PDF, Epub and Kindle

Book Description: 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.

An Introduction to Statistical Learning

An Introduction to Statistical Learning

Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
Publisher : Springer Science & Business Media
Genre : Mathematics
DOWNLOAD

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 ...

An Introduction to Statistical Learning

An Introduction to Statistical Learning

Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
Publisher : Springer
Genre : Mathematics
DOWNLOAD

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 ...

An Introduction to Statistical Learning

An Introduction to Statistical Learning

Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
Publisher : Unknown
Genre : Mathematical models
DOWNLOAD

This book presents some of the most important modeling and preddición tecniques. Include linear regression, classification, resampling methods, shrinkage approaches, tress-based methods, support vector machines, clustering and more....

An Elementary Introduction to Statistical Learning Theory

An Elementary Introduction to Statistical Learning Theory

Author : Sanjeev Kulkarni,Gilbert Harman
Publisher : John Wiley & Sons
Genre : Mathematics
DOWNLOAD

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of ...

Introduction to Statistical Machine Learning

Introduction to Statistical Machine Learning

Author : Masashi Sugiyama
Publisher : Morgan Kaufmann
Genre : Computers
DOWNLOAD

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as ...

The Elements of Statistical Learning

The Elements of Statistical Learning

Author : Trevor Hastie,Robert Tibshirani,Jerome Friedman
Publisher : Springer Science & Business Media
Genre : Mathematics
DOWNLOAD

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the ...

Introduction to Statistical and Machine Learning Methods for Data Science

Introduction to Statistical and Machine Learning Methods for Data Science

Author : Carlos Andre Reis Pinheiro,Mike Patetta
Publisher : SAS Institute
Genre : Computers
DOWNLOAD

Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies. From data preparation ...

Statistical Learning with Sparsity

Statistical Learning with Sparsity

Author : Trevor Hastie,Robert Tibshirani,Martin Wainwright
Publisher : CRC Press
Genre : Business & Economics
DOWNLOAD

Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help ...

An Introduction to Statistics with Python

An Introduction to Statistics with Python

Author : Thomas Haslwanter
Publisher : Springer
Genre : Computers
DOWNLOAD

This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for ...

Machine Learning and Data Science

Machine Learning and Data Science

Author : Daniel D. Gutierrez
Publisher : Technics Publications
Genre : Computers
DOWNLOAD

A practitioner’s tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised ...

Mathematics for Machine Learning

Mathematics for Machine Learning

Author : Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong
Publisher : Cambridge University Press
Genre : Computers
DOWNLOAD

Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning....

A Computational Approach to Statistical Learning

A Computational Approach to Statistical Learning

Author : Taylor Arnold,Michael Kane,Bryan W. Lewis
Publisher : CRC Press
Genre : Business & Economics
DOWNLOAD

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with ...

Neural Networks and Statistical Learning

Neural Networks and Statistical Learning

Author : Ke-Lin Du,M. N. S. Swamy
Publisher : Springer Nature
Genre : Mathematics
DOWNLOAD

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical ...

Deep Learning

Deep Learning

Author : Ian Goodfellow,Yoshua Bengio,Aaron Courville
Publisher : MIT Press
Genre : Computers
DOWNLOAD

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO ...

Statistical Learning with Math and Python

Statistical Learning with Math and Python

Author : Joe Suzuki
Publisher : Springer Nature
Genre : Computers
DOWNLOAD

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building Python programs. As the preliminary part, Chapter 1 provides a concise introduction ...