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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

Gradient boosted trees for supervised learning

In this section, we'll see how to use GBT to solve both regression and classification problems. In the previous two chapters, Chapter 2, Scala for Regression Analysis, and Chapter 3, Scala for Learning Classification, we solved the customer churn and insurance severity claim problems, which were classification and regression problem, respectively. In both approaches, we used other classic models. However, we'll see how we can solve them with tree-based and ensemble techniques. We'll use the GBT implementation from the Spark ML package in Scala.

Gradient boosted trees for classification

We know the customer churn prediction problem from Chapter 3, Scala for Learning...

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