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Apache Spark Machine Learning Blueprints

You're reading from   Apache Spark Machine Learning Blueprints Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785880391
Length 252 pages
Edition 1st Edition
Languages
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Author (1):
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Alex Liu Alex Liu
Author Profile Icon Alex Liu
Alex Liu
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Table of Contents (18) Chapters Close

Apache Spark Machine Learning Blueprints
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. Spark for Machine Learning FREE CHAPTER 2. Data Preparation for Spark ML 3. A Holistic View on Spark 4. Fraud Detection on Spark 5. Risk Scoring on Spark 6. Churn Prediction on Spark 7. Recommendations on Spark 8. Learning Analytics on Spark 9. City Analytics on Spark 10. Learning Telco Data on Spark 11. Modeling Open Data on Spark Index

Spark for using Telco Data


In this section, we will start with a real-life use case of learning from Telco Data and then describe how to prepare Apache Spark computing for this real-life project of Telco Data machine learning.

The use case

Telco companies in the United States and also in other regions have huge amounts of data in their hands now. Many telco companies have started considering this data as their most valuable asset. They have started utilizing the data not only for their own data-driven decision making, but also for their clients. Specifically, some telco companies started using Big Data analytics to differentiate their offerings and target customers more effectively, thereby generating greater customer loyalty as well as taking advantage of new innovative business models. They also used data to increase operational efficiencies and improve effectiveness of customer-experience management. To serve their corporate clients, some telco companies have used the data to help segment...

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