Rajdeep Dua

Machine Learning with Spark - (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book will teach you about popular machine learning algorithms and their implementation. You will learn how various machine learning concepts are implemented in the context of Spark ML. You will start by installing Spark in a single and multinode cluster. Next you'll see how to execute Scala and Python based programs for Spark ML. Then we will take a few datasets and go deeper into clustering, classification, and regression. Toward the end, we will also cover text processing using Spark ML.

Once you have learned the concepts, they can be applied to implement algorithms in either green-field implementations or to migrate existing systems to this new platform. You can migrate from Mahout or Scikit to use Spark ML.

By the end of this book, you will acquire the skills to leverage Spark's features to create your own scalable machine learning applications and power a modern data-driven business.

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Produktdetails

• Verlag: Packt Publishing Limited
• Seitenzahl: 532
• Erscheinungstermin: 28. April 2017
• Englisch
• ISBN-13: 9781785886423
• Artikelnr.: 56831041

Autorenporträt

Mohankumar Saraswatipura is a database solutions architect focusing on IBM Db2, Linux, Unix, Windows, and SAP HANA solutions. He is an IBM Champion (2010-2018) and a DB2's Got Talent 2013 winner. He is also a frequent speaker at the DB2Night Show and IDUG North America conferences. He has written dozens of technical papers for IBM developerWorks, Data Magazine, and the DB2 10.1/10.5 certification guide. He holds a Master's of technology in computer science and an executive MBA from IIM Calcutta.