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Mastering Apache Spark 2.x - Second Edition

You're reading from  Mastering Apache Spark 2.x - Second Edition

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781786462749
Pages 354 pages
Edition 2nd Edition
Languages

Table of Contents (21) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. A First Taste and What’s New in Apache Spark V2 2. Apache Spark SQL 3. The Catalyst Optimizer 4. Project Tungsten 5. Apache Spark Streaming 6. Structured Streaming 7. Apache Spark MLlib 8. Apache SparkML 9. Apache SystemML 10. Deep Learning on Apache Spark with DeepLearning4j and H2O 11. Apache Spark GraphX 12. Apache Spark GraphFrames 13. Apache Spark with Jupyter Notebooks on IBM DataScience Experience 14. Apache Spark on Kubernetes

Chapter 10. Deep Learning on Apache Spark with DeepLearning4j and H2O

This chapter will give you an introduction to Deep Learning and how you can use third-party machine learning libraries on top of Apache Spark in order to do so. Deep Learning is outperforming a variety of state-of-the-art machine learning algorithms, and it is a very active area of research, so there is more to come soon. Therefore, it is important to know how Deep Learning works and how it can be applied in a parallel data processing environment such as Apache Spark.

This chapter will cover the following topics in detail:

  • Introduction to the installation and usage of the H2O framework
  • Introduction to Deeplearning4j with an IoT anomaly detection example
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