September 2015
Intermediate to advanced
158 pages
3h 9m
English
Overview
Dive into building recommendation systems with R in this comprehensive guide. You will learn about data mining, machine learning, and how R's powerful libraries and tools can be utilized to create efficient and optimized recommendation engines. By the end of this book, you will have the expertise to develop custom solutions tailored to specific data and user cases.
What this Book will help me do
- Master the foundations of recommendation systems and their applications.
- Understand and implement essential data preprocessing techniques.
- Learn to optimize recommendation algorithms for better efficiency.
- Explore the use of the recommenderlab package in R for building models.
- Gain hands-on experience through a complete case study building a recommendation engine.
Author(s)
None Usuelli is a seasoned data scientist and R programming enthusiast passionate about machine learning and data analysis. They have extensive experience in developing recommendation systems for various industries, leveraging the power of R for robust solutions. None's clear teaching approach makes complex concepts accessible to learners of all levels.
Who is it for?
This book is ideal for developers who already possess a fundamental understanding of R and basic machine learning principles. If you aim to deepen your knowledge in creating advanced recommendation systems and practically apply these concepts, this book is the perfect resource for you. It is an excellent guide for professionals looking to specialize in predictive analytics and systems design.
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