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Building a Recommendation System with R

You're reading from  Building a Recommendation System with R

Product type Book
Published in Sep 2015
Publisher
ISBN-13 9781783554492
Pages 158 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (13) Chapters

Building a Recommendation System with R
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Getting Started with Recommender Systems 2. Data Mining Techniques Used in Recommender Systems 3. Recommender Systems 4. Evaluating the Recommender Systems 5. Case Study – Building Your Own Recommendation Engine References
Index

About the Reviewer

Ratanlal Mahanta has several years of experience in the modeling and simulation of quantitative trading. He works as a senior quantitative analyst at GPSK Investment Group, Kolkata. Ratanlal holds a master's degree of science in computational finance, and his research areas include quant trading, optimal execution, and high-frequency trading.

He has also reviewed Mastering R for Quantitative Finance, Mastering Scientific Computing with R, Machine Learning with R Cookbook, and Mastering Python for Data Science, all by Packt Publishing.

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