Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Machine Learning with R Cookbook, Second Edition
Machine Learning with R Cookbook, Second Edition

Machine Learning with R Cookbook, Second Edition: Analyze data and build predictive models , Second Edition

Arrow left icon
Profile Icon Yu-Wei, Chiu (David Chiu)
Arrow right icon
$38.99 $43.99
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2 (1 Ratings)
eBook Oct 2017 572 pages 2nd Edition
eBook
$38.99 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Yu-Wei, Chiu (David Chiu)
Arrow right icon
$38.99 $43.99
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2 (1 Ratings)
eBook Oct 2017 572 pages 2nd Edition
eBook
$38.99 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$38.99 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Table of content icon View table of contents Preview book icon Preview Book

Machine Learning with R Cookbook, Second Edition

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Apply R to simplify predictive modeling with short and simple code
  • Use machine learning to solve problems ranging from small to big data
  • Build a training and testing dataset, applying different classification methods.

Description

Big data has become a popular buzzword across many industries. An increasing number of people have been exposed to the term and are looking at how to leverage big data in their own businesses, to improve sales and profitability. However, collecting, aggregating, and visualizing data is just one part of the equation. Being able to extract useful information from data is another task, and a much more challenging one. Machine Learning with R Cookbook, Second Edition uses a practical approach to teach you how to perform machine learning with R. Each chapter is divided into several simple recipes. Through the step-by-step instructions provided in each recipe, you will be able to construct a predictive model by using a variety of machine learning packages. In this book, you will first learn to set up the R environment and use simple R commands to explore data. The next topic covers how to perform statistical analysis with machine learning analysis and assess created models, covered in detail later on in the book. You'll also learn how to integrate R and Hadoop to create a big data analysis platform. The detailed illustrations provide all the information required to start applying machine learning to individual projects. With Machine Learning with R Cookbook, machine learning has never been easier.

Who is this book for?

This book is for data science professionals, data analysts, or people who have used R for data analysis and machine learning who now wish to become the go-to person for machine learning with R. Those who wish to improve the efficiency of their machine learning models and need to work with different kinds of data set will find this book very insightful.

What you will learn

  • Create and inspect transaction datasets and perform association analysis with the Apriori algorithm
  • Visualize patterns and associations using a range of graphs and find frequent item-sets using the Eclat algorithm
  • Compare differences between each regression method to discover how they solve problems
  • Detect and impute missing values in air quality data
  • Predict possible churn users with the classification approach
  • Plot the autocorrelation function with time series analysis
  • Use the Cox proportional hazards model for survival analysis
  • Implement the clustering method to segment customer data
  • Compress images with the dimension reduction method
  • Incorporate R and Hadoop to solve machine learning problems on big data

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 23, 2017
Length: 572 pages
Edition : 2nd
Language : English
ISBN-13 : 9781787287808
Category :
Languages :
Tools :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Product Details

Publication date : Oct 23, 2017
Length: 572 pages
Edition : 2nd
Language : English
ISBN-13 : 9781787287808
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 153.97
Python Machine Learning, Second Edition
$43.99
Machine Learning with R Cookbook, Second Edition
$54.99
Mastering Machine Learning with R, Second Edition
$54.99
Total $ 153.97 Stars icon

Table of Contents

14 Chapters
Practical Machine Learning with R Chevron down icon Chevron up icon
Data Exploration with Air Quality Datasets Chevron down icon Chevron up icon
Analyzing Time Series Data Chevron down icon Chevron up icon
R and Statistics Chevron down icon Chevron up icon
Understanding Regression Analysis Chevron down icon Chevron up icon
Survival Analysis Chevron down icon Chevron up icon
Classification 1 - Tree, Lazy, and Probabilistic Chevron down icon Chevron up icon
Classification 2 - Neural Network and SVM Chevron down icon Chevron up icon
Model Evaluation Chevron down icon Chevron up icon
Ensemble Learning Chevron down icon Chevron up icon
Clustering Chevron down icon Chevron up icon
Association Analysis and Sequence Mining Chevron down icon Chevron up icon
Dimension Reduction Chevron down icon Chevron up icon
Big Data Analysis (R and Hadoop) Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
(1 Ratings)
5 star 0%
4 star 0%
3 star 0%
2 star 100%
1 star 0%
Chris H Mar 23, 2018
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
With better editing and some more meat in the discussion of techniques this could be a useful resource. As such it still may be one for some readers, but the errors and poor editing in general make it hard to recommend this over other similar books. For example, the one sample t-test incorrectly states the null hypothesis (as the sample mean being less than the population mean, which is actually the correct alternative hypothesis) and therefore comes to the wrong conclusion. It is one thing to have a bad typo or omission, but to get the main point backwards in a discussion of the statistical test? How this could make it into a 2nd edition may be hard to fathom, but Packt books tend to be plagued by such poor editing. (However, I do recommend R learners look at the Packt titles by Fischetti, Lantz, Cirillo. There are some good ones.)
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

How do I buy and download an eBook? Chevron down icon Chevron up icon

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

  • You may make copies of your eBook for your own use onto any machine
  • You may not pass copies of the eBook on to anyone else
How can I make a purchase on your website? Chevron down icon Chevron up icon

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

  1. Register on our website using your email address and the password.
  2. Search for the title by name or ISBN using the search option.
  3. Select the title you want to purchase.
  4. Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title. 
  5. Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)
Where can I access support around an eBook? Chevron down icon Chevron up icon
  • If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
  • To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
  • To view your account details or to download a new copy of the book go to www.packtpub.com/account
  • To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us
What eBook formats do Packt support? Chevron down icon Chevron up icon

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks? Chevron down icon Chevron up icon
  • You can get the information you need immediately
  • You can easily take them with you on a laptop
  • You can download them an unlimited number of times
  • You can print them out
  • They are copy-paste enabled
  • They are searchable
  • There is no password protection
  • They are lower price than print
  • They save resources and space
What is an eBook? Chevron down icon Chevron up icon

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.