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Machine Learning with Scala Quick Start Guide

You're reading from   Machine Learning with Scala Quick Start Guide Leverage popular machine learning algorithms and techniques and implement them in Scala

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789345070
Length 220 pages
Edition 1st Edition
Languages
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Authors (2):
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Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
Ajay Kumar N Ajay Kumar N
Author Profile Icon Ajay Kumar N
Ajay Kumar N
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Toc

Table of Contents (9) Chapters Close

Preface 1. Introduction to Machine Learning with Scala 2. Scala for Regression Analysis FREE CHAPTER 3. Scala for Learning Classification 4. Scala for Tree-Based Ensemble Techniques 5. Scala for Dimensionality Reduction and Clustering 6. Scala for Recommender System 7. Introduction to Deep Learning with Scala 8. Other Books You May Enjoy

Scala for Recommender System

In this chapter, we will learn about different approaches for developing recommender systems. Then we will learn how to develop a book recommendation system. Technically, it will be a model-based recommendation engine based on alternating least squares (ALS) and matrix factorization algorithms. We will use Spark MLlib-based implementation of these algorithms in Scala. In a nutshell, we will learn the following topics throughout this chapter:

  • Overview of recommendation systems
  • Similarity-based recommender system
  • Content-based recommender system
  • Collaborative approaches
  • Hybrid recommendation systems
  • Developing a model-based book recommendation system
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