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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 service forecasting


In this section, we will describe a real use case of predicting service requests in detail and then describe how to prepare Apache Spark computing for this real-life project.

The use case

In the United States, and worldwide, more and more cities have made their collected data open to the public. As a result, city governments and many other organizations have performed machine learning on these open datasets with good insight into improving decision making and a lot of positive impact, for example, in New York and Chicago. Using large amount of open data is becoming a trend now. For example, using big data to measure cities is becoming a research trend, as we can note from http://files.meetup.com/11744342/CITY_RANKING_Oct7.pdf.

Using data analytics for cities has a wide impact as more than half of us live in urban centers now, and the percentage is still increasing. Therefore, what you will learn in this chapter will enable data scientists to create a huge positive...

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