Mastering Apache Spark 2.x - Second Edition: Scale your machine learning and deep learning systems with SparkML, DeepLearning4j and H2O
Language: English
Published by Packt Publishing, 2017
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Seller Inventory # ria9781786462749_new
- Title
- Mastering Apache Spark 2.x - Second Edition: Scale your machine learning and deep learning systems with SparkML, DeepLearning4j and H2O
- Author
- Romeo Kienzler
- Publisher
- Packt Publishing
- Publication year
- 2017
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1786462745
- ISBN 13
- 9781786462749
- Edition
- 2nd Edition
- Item weight
- 730 grams
Advanced analytics on your Big Data with latest Apache Spark 2.x
About This Book
- An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities.
- Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in Spark.
- Master the art of real-time processing with the help of Apache Spark 2.x
Who This Book Is For
If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected.
What You Will Learn
- Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J
- Study highly optimised unified batch and real-time data processing using SparkSQL and Structured Streaming
- Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames
- Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud
- Understand internal details of cost based optimizers used in Catalyst, SystemML and GraphFrames
- Learn how specific parameter settings affect overall performance of an Apache Spark cluster
- Leverage Scala, R and python for your data science projects
In Detail
Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark
"Synopsis" may belong to another edition of this title.
About the Author
Romeo Kienzler works as the chief data scientist in the IBM Watson IoT worldwide team, helping clients to apply advanced machine learning at scale on their IoT sensor data. He holds a Master's degree in computer science from the Swiss Federal Institute of Technology, Zurich, with a specialization in information systems, bioinformatics, and applied statistics. His current research focus is on scalable machine learning on Apache Spark. He is a contributor to various open source projects and works as an associate professor for artificial intelligence at Swiss University of Applied Sciences, Berne. He is a member of the IBM Technical Expert Council and the IBM Academy of Technology, IBM's leading brains trust.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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