• Complain

Max Kuhn - Tidy Modeling with R

Here you can read online Max Kuhn - Tidy Modeling with R full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2022, publisher: OReilly Media, Inc., genre: Children. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Max Kuhn Tidy Modeling with R
  • Book:
    Tidy Modeling with R
  • Author:
  • Publisher:
    OReilly Media, Inc.
  • Genre:
  • Year:
    2022
  • Rating:
    3 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 60
    • 1
    • 2
    • 3
    • 4
    • 5

Tidy Modeling with R: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Tidy Modeling with R" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Models can be used in almost any domain for purposes including prediction, inference, or simply describing data. In all these cases, the predictive capacity of a model can be used to evaluate it, and we can build better, more useful models by adhering to good statistical practice. The tidymodels framework harmonizes the heterogeneous model interfaces in R and offers a consistent, flexible framework for modeling suitable for beginners as well as the very experienced.This book provides a practical introduction to how to use R software to create models, focusing on a dialect of the R programming language called the tidyverse. Software that adopts tidyverse principles shares a high-level design philosophy and low-level grammar and data structures, so learning one piece of the ecosystem makes it easier to learn the next. The tidymodels framework for modeling is built to be easily understood and used by a broad range of people.

Max Kuhn: author's other books


Who wrote Tidy Modeling with R? Find out the surname, the name of the author of the book and a list of all author's works by series.

Tidy Modeling with R — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Tidy Modeling with R" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Tidy Modeling with R by Max Kuhn and Julia Silge Copyright 2022 Max Kuhn and - photo 1
Tidy Modeling with R

by Max Kuhn and Julia Silge

Copyright 2022 Max Kuhn and Julia Silge. All rights reserved.

Printed in the United States of America.

Published by OReilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.

OReilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com). For more information, contact our corporate/institutional sales department: 800-998-9938 or corporate@oreilly.com.

  • Acquisitions Editor: Michelle Smith
  • Development Editor: Rita Fernando
  • Production Editor: Beth Kelly
  • Copyeditor: Piper Editorial Consulting, LLC
  • Proofreader: Tom Sullivan
  • Indexer: Potomac Indexing, LLC
  • Interior Designer: David Futato
  • Cover Designer: Karen Montgomery
  • Illustrator: Kate Dullea
  • July 2022: First Edition
Revision History for the First Edition
  • 2022-07-12: First Release

See http://oreilly.com/catalog/errata.csp?isbn=9781492096481 for release details.

The OReilly logo is a registered trademark of OReilly Media, Inc. Tidy Modeling with R, the cover image, and related trade dress are trademarks of OReilly Media, Inc.

The views expressed in this work are those of the authors and do not represent the publishers views. While the publisher and the authors have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights.

978-1-492-09648-1

[LSI]

Dedication

To Amy: When you read this, know that I love you more today than every day before. M.K.

To Robert: Happy 20 years of choosing each other.
J.S.

Preface

Welcome to Tidy Modeling with R! This book is a guide to using a collection of software in the R programming language for model building called tidymodels , and it has two main goals:

  • First and foremost, this book provides a practical introduction to how to use these specific R packages to create models. We focus on a dialect of R called the tidyverse that is designed with a consistent, human-centered philosophy and demonstrate how the tidyverse and the tidymodels packages can be used to produce high quality statistical and machine learning models.

  • Second, this book will show you how to develop good methodology and statistical practices. Whenever possible, our software, documentation, and other materials attempt to prevent common pitfalls.

In provides a quick tour of conventional base R modeling functions and summarizes the unmet needs in that area.

After that, this book is separated into parts, starting with the basics of modeling with tidy data principles. Chapters introduce an example data set on house prices and demonstrate how to use the fundamental tidymodels packages: recipes , parsnip , workflows , yardstick , and others.

The next part of the book moves forward with more details on the process of creating an effective model. Chapters focus on creating good estimates of performance as well as tuning model hyperparameters.

Finally, the last section of this book, Chapters cover other important topics for model building. We discuss more advanced feature engineering approaches like dimensionality reduction and encoding high-cardinality predictors, as well as how to answer questions about why a model makes certain predictions and when to trust your model predictions.

We do not assume that readers have extensive experience in model building and statistics. Some statistical knowledge is required, such as random sampling, variance, correlation, basic linear regression, and other topics that are usually found in a basic undergraduate statistics or data analysis course. We do assume that the reader is at least slightly familiar with dplyr, ggplot2, and the %>% pipe operator in R, and is interested in applying these tools to modeling. For users who dont yet have this background R knowledge, we recommend books such as R for Data Science by Wickham and Grolemund (2016). Investigating and analyzing data is an important part of any model process.

This book is not intended to be a comprehensive reference on modeling techniques; we suggest other resources to learn more about the statistical methods themselves. For general background on the most common type of model, the linear model, we suggest Fox (2008). For predictive models, Kuhn and Johnson (2013) and Kuhn and Johnson (2020) are good resources. For machine learning methods, Goodfellow, Bengio, and Courville (2016) is an excellent (but formal) source of information. In some cases, we do describe the models we use in some detail, but in a way that is less mathematical, and hopefully more intuitive.

Conventions Used in This Book

The following typographical conventions are used in this book:

Italic

Indicates new terms, URLs, email addresses, filenames, and file extensions.

Constant width

Used for program listings, as well as within paragraphs to refer to program elements such as variable or function names, databases, data types, environment variables, statements, and keywords.

Constant width bold

Shows commands or other text that should be typed literally by the user.

Constant width italic

Shows text that should be replaced with user-supplied values or by values determined by context.

Tip

This element signifies a tip or suggestion.

Note

This element signifies a general note.

Warning

This element indicates a warning or caution.

Using Code Examples

Supplemental material (code examples, exercises, etc.) is available for download at https://github.com/tidymodels/TMwR. This book was written with RStudio using bookdown (Xie 2016). We generated all plots in this book using ggplot2 and its black and white theme (theme_bw()). An online version of this book is available and will continue to evolve after publication of the physical book.

If you have a technical question or a problem using the code examples, please email to .

This book is here to help you get your job done. In general, if example code is offered with this book, you may use it in your programs and documentation. You do not need to contact us for permission unless youre reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission. Selling or distributing examples from OReilly books does require permission. Answering a question by citing this book and quoting example code does not require permission. Incorporating a significant amount of example code from this book into your products documentation does require permission.

We appreciate, but generally do not require, attribution. An attribution usually includes the title, author, publisher, and ISBN. For example:

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Tidy Modeling with R»

Look at similar books to Tidy Modeling with R. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Tidy Modeling with R»

Discussion, reviews of the book Tidy Modeling with R and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.