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Cloud Analytics with Google Cloud Platform

You're reading from   Cloud Analytics with Google Cloud Platform An end-to-end guide to processing and analyzing big data using Google Cloud Platform

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839686
Length 282 pages
Edition 1st Edition
Concepts
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Author (1):
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Sanket Thodge Sanket Thodge
Author Profile Icon Sanket Thodge
Sanket Thodge
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Table of Contents (11) Chapters Close

Preface 1. Introducing Cloud Analytics 2. Design and Business Considerations FREE CHAPTER 3. GCP 10,000 Feet Above – A High-Level Understanding of GCP 4. Ingestion and Storing – Bring the Data and Capture It 5. Processing and Visualizing – Close Encounter 6. Machine Learning, Deep Learning, and AI on GCP 7. Guidance on Google Cloud Platform Certification 8. Business Use Cases 9. Introduction to AWS and Azure 10. Other Books You May Enjoy

DSS for web mining recommendation using TensorFlow


This use case is going to focus more on using TensorFlow and doing Web Mining on GCP.

Abstract

Decision supports systems (DSSs) are computer-based information systems designed to help managers to select one of the many alternative solutions to a problem. Web mining is the application of data mining techniques to discover patterns from the World Wide Web. The aim of this use case is to find patterns to recommend to users using TensorFlow.

Introduction

A brief idea of the use case is presented in the abstract. Now the detailed part of the use case is as follows in the corresponding sections. We have to build an application on Google Cloud Platform where the aim of the use case is shown as recommended systems.

Decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. 

Recommender systems (RS) aim to capture the user behavior by suggesting/recommending users with relevant...

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