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 now! 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
Conferences
Free Learning
Arrow right icon
R Machine Learning By Example
R Machine Learning By Example

R Machine Learning By Example: Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

eBook
€22.99 €32.99
Paperback
€41.99
Subscription
Free Trial
Renews at €18.99p/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

R Machine Learning By Example

Left arrow icon Right arrow icon

Key benefits

  • Get to grips with the concepts of machine learning through exciting real-world examples
  • Visualize and solve complex problems by using power-packed R constructs and its robust packages for machine learning
  • Learn to build your own machine learning system with this example-based practical guide

Description

Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages, and an active developer community, R empowers users to build sophisticated machine learning systems to solve real-world data problems. This book takes you on a data-driven journey that starts with the very basics of R and machine learning and gradually builds upon the concepts to work on projects that tackle real-world problems. You’ll begin by getting an understanding of the core concepts and definitions required to appreciate machine learning algorithms and concepts. Building upon the basics, you will then work on three different projects to apply the concepts of machine learning, following current trends and cover major algorithms as well as popular R packages in detail. These projects have been neatly divided into six different chapters covering the worlds of e-commerce, finance, and social-media, which are at the very core of this data-driven revolution. Each of the projects will help you to understand, explore, visualize, and derive insights depending upon the domain and algorithms. Through this book, you will learn to apply the concepts of machine learning to deal with data-related problems and solve them using the powerful yet simple language, R.

Who is this book for?

If you are interested in mining useful information from data using state-of-the-art techniques to make data-driven decisions, this is a go-to guide for you. No prior experience with data science is required, although basic knowledge of R is highly desirable. Prior knowledge in machine learning would be helpful but is not necessary.

What you will learn

  • Utilize the power of R to handle data extraction, manipulation, and exploration techniques
  • Use R to visualize data spread across multiple dimensions and extract useful features
  • Explore the underlying mathematical and logical concepts that drive machine learning algorithms
  • Dive deep into the world of analytics to predict situations correctly
  • Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action
  • Write reusable code and build complete machine learning systems from the ground up
  • Solve interesting real-world problems using machine learning and R as the journey unfolds
  • Harness the power of robust and optimized R packages to work on projects that solve real-world problems in machine learning and data science

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 31, 2016
Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781784392635
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 : Mar 31, 2016
Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781784392635
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 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
€189.99 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
€264.99 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 101.97
Learning Probabilistic Graphical Models in R
€29.99
Learning Bayesian Models with R
€29.99
R Machine Learning By Example
€41.99
Total 101.97 Stars icon

Table of Contents

9 Chapters
1. Getting Started with R and Machine Learning Chevron down icon Chevron up icon
2. Let's Help Machines Learn Chevron down icon Chevron up icon
3. Predicting Customer Shopping Trends with Market Basket Analysis Chevron down icon Chevron up icon
4. Building a Product Recommendation System Chevron down icon Chevron up icon
5. Credit Risk Detection and Prediction – Descriptive Analytics Chevron down icon Chevron up icon
6. Credit Risk Detection and Prediction – Predictive Analytics Chevron down icon Chevron up icon
7. Social Media Analysis – Analyzing Twitter Data Chevron down icon Chevron up icon
8. Sentiment Analysis of Twitter Data Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6
(14 Ratings)
5 star 78.6%
4 star 14.3%
3 star 0%
2 star 0%
1 star 7.1%
Filter icon Filter
Top Reviews

Filter reviews by




Ankita Apr 28, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Written in simple language easy to understand, but you need to have some background knowledge of machine learning before starting with this book
Amazon Verified review Amazon
Amazon Customer May 18, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Really diverse examples of data science problems have been covered in this book ranging from text analytics to classification and pattern detection. Overall a great book!
Amazon Verified review Amazon
Ajitava May 20, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book is quite good if you are getting started with either R or Machine Learning and the case-study based approach really helps in understanding how to use machine learning in various areas.
Amazon Verified review Amazon
Amazon Customer May 17, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Background: Data Scientist in the financial spaceOverall Thoughts: This was one of the few books I saw which had working implementations of solutions to the various practical examples in the books. Often I have found non-working code in several books which authors didn't bother correcting. Really loved the fraud detection & prediction and the recommendation system problems.
Amazon Verified review Amazon
Amazon Customer Jun 06, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book was exactly what I was looking for...The content starts from the very basic, something as simple as the basics of R and then builds on content as we go about solving real world challenges. The code base is available online and the book helps us understand the intricate details of the importance of each line of code. The presentation is quite structured and is a great starting point for someone who is passionate to use R for machine learning. Particularly, the five-six real world problems explained in such a lucid and impactful way was the most striking aspect for me!A much recommended book in your library to sail through the basics of R in the machine learning world!"
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.