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Building a Recommendation System with R (Paperback)
Loot Price: R824
Discovery Miles 8 240
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Building a Recommendation System with R (Paperback)
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Total price: R844
Discovery Miles: 8 440
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Learn the art of building robust and powerful recommendation
engines using R About This Book * Learn to exploit various data
mining techniques * Understand some of the most popular
recommendation techniques * This is a step-by-step guide full of
real-world examples to help you build and optimize recommendation
engines Who This Book Is For If you are a competent developer with
some knowledge of machine learning and R, and want to further
enhance your skills to build recommendation systems, then this book
is for you. What You Will Learn * Get to grips with the most
important branches of recommendation * Understand various data
processing and data mining techniques * Evaluate and optimize the
recommendation algorithms * Prepare and structure the data before
building models * Discover different recommender systems along with
their implementation in R * Explore various evaluation techniques
used in recommender systems * Get to know about recommenderlab, an
R package, and understand how to optimize it to build efficient
recommendation systems In Detail A recommendation system performs
extensive data analysis in order to generate suggestions to its
users about what might interest them. R has recently become one of
the most popular programming languages for the data analysis. Its
structure allows you to interactively explore the data and its
modules contain the most cutting-edge techniques thanks to its wide
international community. This distinctive feature of the R language
makes it a preferred choice for developers who are looking to build
recommendation systems. The book will help you understand how to
build recommender systems using R. It starts off by explaining the
basics of data mining and machine learning. Next, you will be
familiarized with how to build and optimize recommender models
using R. Following that, you will be given an overview of the most
popular recommendation techniques. Finally, you will learn to
implement all the concepts you have learned throughout the book to
build a recommender system. Style and approach This is a
step-by-step guide that will take you through a series of core
tasks. Every task is explained in detail with the help of practical
examples.
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