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Book Overview & Buying
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Table Of Contents
Apache Spark Machine Learning Blueprints
By :
Apache Spark Machine Learning Blueprints
By:
Overview of this book
There's a reason why Apache Spark has become one of the most popular tools in Machine Learning – its ability to handle huge datasets at an impressive speed means you can be much more responsive to the data at your disposal. This book shows you Spark at its very best, demonstrating how to connect it with R and unlock maximum value not only from the tool but also from your data.
Packed with a range of project "blueprints" that demonstrate some of the most interesting challenges that Spark can help you tackle, you'll find out how to use Spark notebooks and access, clean, and join different datasets before putting your knowledge into practice with some real-world projects, in which you will see how Spark Machine Learning can help you with everything from fraud detection to analyzing customer attrition. You'll also find out how to build a recommendation engine using Spark's parallel computing powers.
Table of Contents (13 chapters)
Preface
Free Chapter
1. Spark for Machine Learning
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
