Machine learning with Spark :: develop intelligent machine learning systems with Spark 2.x /
Create scalable machine learning applications to power a modern data-driven business using Spark 2.x About This Book Get to the grips with the latest version of Apache Spark Utilize Spark's machine learning library to implement predictive analytics Leverage Spark's powerful tools to load,...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2017.
|
Ausgabe: | Second edition. |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Create scalable machine learning applications to power a modern data-driven business using Spark 2.x About This Book Get to the grips with the latest version of Apache Spark Utilize Spark's machine learning library to implement predictive analytics Leverage Spark's powerful tools to load, analyze, clean, and transform your data Who This Book Is For If you have a basic knowledge of machine learning and want to implement various machine-learning concepts in the context of Spark ML, this book is for you. You should be well versed with the Scala and Python languages. What You Will Learn Get hands-on with the latest version of Spark ML Create your first Spark program with Scala and Python Set up and configure a development environment for Spark on your own computer, as well as on Amazon EC2 Access public machine learning datasets and use Spark to load, process, clean, and transform data Use Spark's machine learning library to implement programs by utilizing well-known machine learning models Deal with large-scale text data, including feature extraction and using text data as input to your machine learning models Write Spark functions to evaluate the performance of your machine learning models In Detail 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. Style and approach This practical tutorial with real-world use cases enables you to develop your own machine learning systems with Spark. The examples will help you combine various techniques and models into an intelligent machine learning system. |
Beschreibung: | 1 online resource (1 volume) : illustrations |
ISBN: | 9781785886423 1785886428 |
Internformat
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spelling | Dua, Rajdeep, author. Machine learning with Spark : develop intelligent machine learning systems with Spark 2.x / Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath. Second edition. Birmingham, UK : Packt Publishing, 2017. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on online resource; title from title page (Safari, viewed May 18, 2017). Create scalable machine learning applications to power a modern data-driven business using Spark 2.x About This Book Get to the grips with the latest version of Apache Spark Utilize Spark's machine learning library to implement predictive analytics Leverage Spark's powerful tools to load, analyze, clean, and transform your data Who This Book Is For If you have a basic knowledge of machine learning and want to implement various machine-learning concepts in the context of Spark ML, this book is for you. You should be well versed with the Scala and Python languages. What You Will Learn Get hands-on with the latest version of Spark ML Create your first Spark program with Scala and Python Set up and configure a development environment for Spark on your own computer, as well as on Amazon EC2 Access public machine learning datasets and use Spark to load, process, clean, and transform data Use Spark's machine learning library to implement programs by utilizing well-known machine learning models Deal with large-scale text data, including feature extraction and using text data as input to your machine learning models Write Spark functions to evaluate the performance of your machine learning models In Detail 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. Style and approach This practical tutorial with real-world use cases enables you to develop your own machine learning systems with Spark. The examples will help you combine various techniques and models into an intelligent machine learning system. Spark (Electronic resource : Apache Software Foundation) http://id.loc.gov/authorities/names/no2015027445 Spark (Electronic resource : Apache Software Foundation) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. COMPUTERS / General. bisacsh Machine learning fast Pentreath, Nick, author. Ghotra, Manpreet Singh, author. has work: Machine learning with Spark (Text) https://id.oclc.org/worldcat/entity/E39PCFBGVQtqhVR6vvf4JKKQVP https://id.oclc.org/worldcat/ontology/hasWork FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1513368 Volltext |
spellingShingle | Dua, Rajdeep Pentreath, Nick Ghotra, Manpreet Singh Machine learning with Spark : develop intelligent machine learning systems with Spark 2.x / Spark (Electronic resource : Apache Software Foundation) http://id.loc.gov/authorities/names/no2015027445 Spark (Electronic resource : Apache Software Foundation) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. COMPUTERS / General. bisacsh Machine learning fast |
subject_GND | http://id.loc.gov/authorities/names/no2015027445 http://id.loc.gov/authorities/subjects/sh85079324 |
title | Machine learning with Spark : develop intelligent machine learning systems with Spark 2.x / |
title_auth | Machine learning with Spark : develop intelligent machine learning systems with Spark 2.x / |
title_exact_search | Machine learning with Spark : develop intelligent machine learning systems with Spark 2.x / |
title_full | Machine learning with Spark : develop intelligent machine learning systems with Spark 2.x / Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath. |
title_fullStr | Machine learning with Spark : develop intelligent machine learning systems with Spark 2.x / Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath. |
title_full_unstemmed | Machine learning with Spark : develop intelligent machine learning systems with Spark 2.x / Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath. |
title_short | Machine learning with Spark : |
title_sort | machine learning with spark develop intelligent machine learning systems with spark 2 x |
title_sub | develop intelligent machine learning systems with Spark 2.x / |
topic | Spark (Electronic resource : Apache Software Foundation) http://id.loc.gov/authorities/names/no2015027445 Spark (Electronic resource : Apache Software Foundation) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. COMPUTERS / General. bisacsh Machine learning fast |
topic_facet | Spark (Electronic resource : Apache Software Foundation) Machine learning. Apprentissage automatique. COMPUTERS / General. Machine learning |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1513368 |
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