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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

Chapter 10. Learning Telco Data on Spark

With a new approach different from the approaches in the previous chapters, in this chapter and the next chapter, we will start with a set of huge amount of data and then let the data lead us. In other words, we will apply Spark machine learning to certain types of big datasets, and then the data needs and new insights will guide our machine learning to result in useful and actionable insights, by taking advantage of the processes made easily and fast with Apache Spark. As for this chapter, we will work on telco data, and then, for the next chapter, we will work on open data made available by various levels of governments.

By following a similar process adopted in the previous chapters, in this chapter, we will first review machine learning methods and related Spark computing to use Telco Data to learn more about customer behavior insights. We will then discuss how Apache Spark comes in to make them easy as before. At the same time, with this real...

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