ã Read ↠ Building a Recommendation Engine with Scala by Saleem Ansari ↠ eBook or Kindle ePUB

• Title : Building a Recommendation Engine with Scala
• Author : Saleem Ansari
• Rating : 4.68 (949 Vote)
• Publish : 2014-1-23
• Format : Paperback
• Pages : 164 Pages
• Asin : 1785282581
• Language : English

Key FeaturesLearn the basics of a recommendation engine and its application in e-commerceDiscover the tools and machine learning methods required to build a recommendation engineExplore different kinds of recommendation engines using Scala libraries such as MLi

Key Features

• Learn the basics of a recommendation engine and its application in e-commerce
• Discover the tools and machine learning methods required to build a recommendation engine
• Explore different kinds of recommendation engines using Scala libraries such as MLib and Spark

Book DescriptionWith an increase of data in online e-commerce systems, the challenges in assisting users with narrowing down their search have grown dramatically. The various tools available in the Scala ecosystem enable developers to build a processing pipeline to meet those challenges and create a recommendation system to accelerate business growth and leverage brand advocacy for your clients.This book provides you with the Scala knowledge you need to build a recommendation engine.You'll be introduced to Scala and other related tools to set the stage for the project and familiarise yourself with the different stages in the data processing pipeline, including at which stages you can leverage the power of Scala and related tools. The very next year, he formed JMILUGLinux Users Group at Jamia Millia Islamia University, New Delhi. He has a special interest in machine learning and information retrieval. Since then, he has been contributing to FOSS by organizing community activities and contributing code to various projects (for more information, visit github/t

He has worked for companies such as Red Hat, Impetus Technologies, Belzabar Software, and Exzeo Software. He is also a passionate member of free and open source software (FOSS) community. He started his journey with FOSS in the year 2004. Having implemented data ingestion and a processing pipeline in Core Java and Ruby separately, he knows the challenges faced by huge data sets in such systems. In 2015, he reviewed two books related to Apache Mahout, namely Learning Apache Mahout and Apache Mahout Essentials; both the books were produced by Packt Publishing.

Saleem Ansari

Saleem Ansari is a full-stack developer with over 8 years of industry experience. He also mentors students about FOSS and its benefits.

He started his journey with FOSS in the year 2004. He has worked for companies such as Red Hat, Impetus Technologies, Belzabar Software, and Exzeo Software. The very next year, he formed JMILUGLinux Users Group at Jamia Millia Islamia University, New Delhi. He blogs at tuxdna/ and can be reached at tuxdna@fedoraproject via e-mail.. Since then, he has been contributing to FOSS by organizing community activities and contributing code to various projects (for more information, visit github/tuxdna). He has a special interest in machine learning and information retrieval. He also mentors students about FOSS and its benefits. He is also a passionate member of free and open source software (FOSS) community. Having implemented data ingestion and a processing pipeline in Core Java and Ruby separately, he knows the challenges faced by huge data sets in such systems. In 2015, he reviewed two books related to Apache Mahout, namely Learning Apache Mahout and Apache Mahout Essentials; both the books were produced by Packt Publishing. About the AuthorSaleem AnsariSaleem Ansari is a full-stack developer with over 8 years of industry e

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