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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 (13) Chapters Close

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 a holistic view

Spark is very suitable for machine learning projects, such as obtaining a holistic view of business, as it enables us to process huge amounts of data fast and code complicated computations easily. In this section, we will first describe a real business case and then how to prepare Spark computing for our project.

The use case

The company IFS sells and distributes thousands of IT products and has a lot of data on marketing, training, team management, promotion, and products. The company wants to understand how various kinds of actions, such as those in marketing and training, affect the sales team's success. In other words, IFS is interested in finding out how much impact marketing, training, or promotion generates separately.

In the past, IFS has done a lot of analytical work, but all of it was completed by individual departments on soloed datasets. That is, they have analytical results about how marketing affects sales from using marketing data alone and how...

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