with Applications in R (Springer Texts in Statistics)

(Hardcover)

3 products added to cart in last 30 minutes

âœ… Lowest price available on Amazonâœ… Usually dispatched within 1-2 business days

âœ… Total 24 new items foundAn 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 | Gareth James |

Binding | Hardcover |

EAN | 9781461471370 |

Edition | 1st ed. 2013, Corr. 7th printing 2017 |

ISBN | 1461471370 |

Height | 930 mm |

Length | 630 mm |

Width | 100 mm |

Weight | 188 g |

Language | English |

Language Type | Published |

Number Of Items | 1 |

Number Of Pages | 426 |

Package Quantity | 8 |

Product Group | Book |

Publication Date | 2013-08-12 |

Publisher | Springer |

Studio | Springer |

Sales Rank | 2389 |

Cracking the Coding Interview: 189 Programming Questions and Solutions

Let Us C

Objective Computer Awareness

Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles

Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles

Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles

.NET: Interview Questions

Superintelligence: Paths; Dangers; Strategies

Love in the Time of Cholera

Life 3.0

All-In-One Computer Science CBSE for Class 12 (2017-18)

Introduction to Computation and Programming Using Python with Application to Understanding Data

Python for Data Analysis: Data Wrangling with Pandas; NumPy; and IPython 2nd Edition

How to Create a Mind: The Secret of Human Thought Revealed

MICROSOFT OFFICE 2010

Algorithms to Live By: The Computer Science of Human Decisions

Superintelligence: Paths; Dangers; Strategies

Docker Deep Dive: Updated October 2017

Machine Learning for Beginners: The Definitive Guide to Neural Networks; Random Forests; and Decision Trees

Deep Learning (Adaptive Computation and Machine Learning series)

Fundamentals of Computer Algorithms(second edition)

Machine Learning for Absolute Beginners: A Plain English Introduction (First Edition)

Numsense! Data Science for the Layman: No Math Added

Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins

Design Patterns: Elements of Reusable Object-Oriented Software (Addison-Wesley Professional Computing Series)

Neural Networks and Deep Learning: Deep Learning explained to your granny – A visual introduction for beginners who want to make their own Deep Learning Neural Network (Machine Learning)

Tally ERP 9 (Power of Simplicity): Software for Business and Accounts

The Elements of Statistical Learning: Data Mining; Inference; and Prediction; Second Edition (Springer Series in Statistics)

Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins

The Master Algorithm

Structure and Interpretation of Computer Programs (PUL)

Options; Futures; and other Derivatives

Frank Kane's Taming Big Data with Apache Spark and Python

Life 3.0: Being Human in the Age of Artificial Intelligence

Computer Programming in Fortran 77 (With an Introduction to Fortran 90)

Peeling Design Patterns: For Beginners and Interviews

Dawn of the New Everything: A Journey Through Virtual Reality

Artificial Intelligence: Artificial Intelligence for Humans (Artificial Intelligence; Machine learning)

Internet of Things: Digitize or Die: Transform your organization. Embrace the digital evolution. Rise above the competition.

The Math of Neural Networks

Database Management Systems

Don't Make Me Think; Revisited: A Common Sense Approach to Web Usability (3rd Edition)

Network Security and Cryptography

Machine Learning Python: 2 Manuscripts - Artificial Intelligence Python and Reinforcement Learning with Python

Artificial Intelligence with Python

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Fundamentals of Software Engineering

Arduino Projects for Engineers

Python Machine Learning

Head First Java: A Brain-Friendly Guide

PUJA COMPUTER HINDI TYPING (MANGAL AND KRUTI DEV FONT) (UNICODE INSCRIPT KEYBOARD)

CCA159: Hadoop Data Analyst Exam Hands-on Practice Book and Preparation: CCA159: Hadoop Data Analyst

Geek Collection 7 in 1 Box Set: Computer Hacking Guide for Beginners; SQL; Google Drive; Project Management; Amazon FBA; LINUX; Excel

Artificial Intelligence for Humans; Volume 3: Deep Learning and Neural Networks

Peeling Design Patterns: For Beginners & Interviews (Design Interview Questions)

Data Structures and Algorithms for GATE: Solutions to All Previous GATE Questions Since 1991

AWS Administration Cookbook

Introducing Ethereum and Solidity: Foundations of Cryptocurrency and Blockchain Programming for Beginners

Building Bots with Node.js

Algorithms to Live By: The Computer Science of Human Decisions

Shiv Das-Class 12-Computer Science- Past 7 Years Solved Question Papers

Mastering Algorithms with C

Machine Learning with R

Accounting: Basic Accounting Explained Under 50 Pages: Principles You Need To Know: Accounting Principles & Accounting Made Simple For Small Business; ... For Small Businesses; Accounting 101)

Photoshop CS6 Training Guide

TensorFlow Machine Learning Cookbook

The Future of Leadership: Rise of Automation; Robotics and Artificial Intelligence

Deep Learning with Keras

HACKING FOR BEGINNERS: Ultimate 7 Hour Hacking Course For Beginners. Learn Wireless Hacking; Basic Security; Penetration Testing.

Artificial Intelligence: Taking Over - How Will AI and Machine Learning Impact Your Life?

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

ITIL Foundation Exam Study Guide

The Mathematical Corporation: Where Machine Intelligence and Human Ingenuity Achieve the Impossible

Top 50 AWS Associate Architect Interview Questions & Answers

Python Machine Learning: Machine Learning and Deep Learning with Python; scikit-learn; and TensorFlow; 2nd Edition

The Kubernetes Book: Version 2 - Oct 2017

Bitcoin Mining: Step-By-Step Guide To Bitcoin Mining For Beginners

About Face: The Essentials of Interface Design; 4ed (WILEY)

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts; Tools; and Techniques to Build Intelligent Systems

Cracking the IT Architect Interview

Cambridge International AS and A Level Computer Science Revision Guide (Cambridge International Examinations)

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

Design Methods and Analysis of Algorithms

Schaum's Outline of Essential Computer Mathematics (Schaum's Outlines)

Top 50 Java Design-Pattern Interview Questions

Concepts; Techniques and Models of Computer Programming

Learning Robotics Using Python

USB: The Universal Serial Bus (FYSOS: Operating System Design Book 8)

Einführung in die computerorientierte Mathematik mit Sage (Springer Studium Mathematik - Bachelor)

Machine Learning (in Python and R) For Dummies

ISRO: Computer Science: Previous Solved Papers - 2017

Robot-Proof: Higher Education in the Age of Artificial Intelligence (MIT Press)

Javascript: Javascript Programming For Beginners Guide To Javascript Coding; Javascript Programs And Javascript Language

Ethereum: The Insider Guide to Blockchain Technology; Cryptocurrency and Mining Ethereum

Wild Ride: Inside Uber's Quest for World Domination

The Information: A History; A Theory; A Flood

Extending SSIS with .NET Scripting

A Mind at Play: How Claude Shannon Invented the Information Age

Pro MEAN Stack Development

**An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)**(Hardcover)**Professional's Handbook of Psychotropic Drugs**(Hardcover)**Birds of the Indian Subcontinent: India, Pakistan, Sri Lanka, Nepal, Bhutan, Bangladesh and the Maldives**(Paperback)**Elements of Agricultural Engineering**(Paperback)**The Age of Spiritual Machines: When Computers Exceed Human Intelligence**(Paperback)**Metamorphose : From Their Summer Love to Her Spring**(Kindle)**The Noble Horse: Facts and breed information on our equine friends**(Flexibound)**Krav Maga Professional Tactics: The Contact Combat System of the Israeli Martial Arts**(Kindle)**Black Money and Tax Havens**(Paperback)**Men are from Mars Women are From Venus**(Paperback)**Bitcoin: A Step-by-Step guide on mastering bitcoin and cryptocurrencies (blockchain, fintech, currency, smart contracts, money, understanding, ethereum, digital, financial, ledger, mining, trading)**(Kindle)**Vegetables and Fruit in Pots (RHS Simple Steps to Success)**(Paperback)**Miss Marpleâ€™s Final Cases (Miss Marple)**(Hardcover)**WORDS OF FREEDOM: IDEAS OF A NATION : Vallabhbhai Patel**(Paperback)**Yes, God is a Mathematician: The secret scientific model of Creation and Reality encoded within the Vedas is revealed in the form of a story.**(Kindle)**GoPro: Professional Guide to Filmmaking [covers the HERO4 and all GoPro cameras]**(Paperback)**The Obelisk Gate: The Broken Earth, Book 2, WINNER OF THE HUGO AWARD 2017 (Broken Earth Trilogy)**(Kindle)**Tom Gates #11: Dog Zombies Rule**(Hardcover)**Top 10 Tiger Parks In India**(Paperback)**Law of Attraction: Attracting Prosperity Through Manifestation**(Kindle)**A Killing Art**(Kindle)**CHACHA CHAUDHARY AND THE SPARKLING DIAMONDS: CHACHA CHAUDHARY**(Kindle)**Presentation Skills 201: How to Take It to the Next Level as a Confident, Engaging Presenter**(Kindle)**The Way of the Seal: Think Like An Elite Warrior to Lead and Succeed**(Paperback)**Alpilles - camargue - arles 2017-2018 petit fute + offre num**(Paperback)**The Whirling Circles of Ba Gua Zhang: The Art and Legends of the Eight Trigram Palm**(Paperback)**Botany for Gardeners**(Paperback)**Automobile Engineering (Volume - 2)**(Paperback)**Diary of Steve the Noob 16 (An Unofficial Minecraft Book) (Diary of Steve the Noob Collection)**(Kindle)**OET 2.0 Reading 2018: For All-Professions: VOL. 2 (OET 2.0 Reading Books by Maggie Ryan)**(Kindle)

- The author associated with An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is Gareth James.
- The EAN for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is 9781461471370.
- The edition for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is 1st ed. 2013, Corr. 7th printing 2017.
- The ISBN for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is 1461471370.
- The height for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is 930 mm.
- The length for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is 630 mm.
- The width for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is 100 mm.
- The weight for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is 188 g.
- The language for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is English.
- The binding of An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is Hardcover.
- The number of items for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is 1.
- The number of pages for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) are 426.
- The quantity for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) in a package is 8.
- An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is grouped in Book group of products.
- The publication date for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is 2013-08-12.
- The publisher for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is Springer.
- The producer for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is Springer.
- The sales rank for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) is 2389.