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Arvind Ravulavaru - Google Cloud AI Services Quick Start Guide

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Leverage the power of various Google Cloud AI Services by building a smart web application using MEAN Stack

About This Book

  • Start working with the Google Cloud Platform and the AI services it offers
    • Build smart web applications by combining the power of Google Cloud AI services and the MEAN stack
    • Build a web-based dashboard of smart applications that perform language processing, translation, and computer vision on the cloud

      Who This Book Is For

      This book is ideal for data professionals and web developers who want to use the power of Google Cloud AI services in their projects, without the going through the pain of mastering machine learning for images, videos and text. Some familiarity with the Google Cloud Platform will be helpful.

      What You Will Learn

    • Understand Google Cloud Platform and its Cloud AI services
    • Explore the Google ML Services
    • Work with an Angular 5 MEAN stack application
    • Integrate Vision API, Video Intelligence API for computer vision
    • Be ready for conversational experiences with the Speech Recognition API, Cloud Language Process and Cloud Translation API services
    • Build a smart web application that uses the power of Google Cloud AI services to make apps smarter

      In Detail

      Cognitive services are the new way of adding intelligence to applications and services. Now we can use Artificial Intelligence as a service that can be consumed by any application or other service, to add smartness and make the end result more practical and useful.

      Google Cloud AI enables you to consume Artificial Intelligence within your applications, from a REST API. Text, video and speech analysis are among the powerful machine learning features that can be used. This book is the easiest way to get started with the Google Cloud AI services suite and open up the world of smarter applications.

      This book will help you build a Smart Exchange, a forum application that will let you upload videos, images and perform text to speech conversions and translation services. You will use the power of Google Cloud AI Services to make our simple forum application smart by validating the images, videos, and text provided by users to Google Cloud AI Services and make sure the content which is uploaded follows the forum standards, without a human curator involvement.

      You will learn how to work with the Vision API, Video Intelligence API, Speech Recognition API, Cloud Language Process, and Cloud Translation API services to make your application smarter.

      By the end of this book, you will have a strong understanding of working with Google Cloud AI Services, and be well on the way to building smarter applications.

      Style and approach

      We follow a project-based approach where we build a public forum application ifor uploading images or videos, posting and translating text messages. We incrementally add features by integrating each API as we go.

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    Google Cloud AI Services Quick Start Guide Build intelligent applications - photo 1
    Google Cloud AI Services Quick Start Guide
    Build intelligent applications with Google Cloud AI services
    Arvind Ravulavaru
    BIRMINGHAM - MUMBAI Google Cloud AI Services Quick Start Guide Copyright 2018 - photo 2
    BIRMINGHAM - MUMBAI
    Google Cloud AI Services Quick Start Guide

    Copyright 2018 Packt Publishing

    All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

    Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

    Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

    Commissioning Editor: Amey Varangaonkar
    Acquisition Editor: Reshma Raman
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    Indexer: Tejal Daruwale Soni
    Graphics: Jason Monteiro
    Production Coordinator: Aparna Bhagat

    First published: May 2018

    Production reference: 1280518

    Published by Packt Publishing Ltd.
    Livery Place
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    ISBN 978-1-78862-661-3

    www.packtpub.com

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    Contributors
    About the author

    Arvind Ravulavaru is a platform architect at Ubiconn IoT Solutions, with over 9 years of experience in software development and 2 years in hardware and product development. For the last 5 years, he has been working extensively on JavaScript, both on the server side and the client side, and for the last couple of years he has working in IoT, building a platform for rapidly developing IoT solutions named The IoT Suitcase. Prior to that, Arvind worked on big data, cloud computing, and orchestration.

    About the reviewer

    Chirag Nayyar helps organizations initiate their digital transformation using the public cloud. He has been actively working on cloud platforms since 2013, providing consultancy to many organizations ranging from SMB to Enterprises. He holds a wide range of certifications from all major public cloud platforms. He also runs meetups and is a regular speaker at various cloud events. He has also reviewed Hands-On Machine Learning on Google Cloud Platform and Google Cloud Platform Cookbook, by Packt.

    Packt is searching for authors like you

    If you're interested in becoming an author for Packt, please visit authors.packtpub.com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea.

    Preface

    Cognition as a Service (CAAS) is the new kid on the block. No longer do engineers need to spend time building intelligence on top of their applications. Now, intelligence is borrowed from various services.

    Welcome to Google Cloud AI Services Quick Start Guide , where we will explore the powerful Google Cloud AI services via a project-based approach. We will build a forum application named SmartExchange, similar to Discourse or stack overflow, where users start a discussion thread and other users comment on it. To administer the content that goes into the SmartExchange application, we will use Google Cloud AI services such as the Cloud Vision API and Video Intelligence API.

    Who this book is for

    This book is ideal for any reader who would like to use the power of Google Cloud AI services in their projects without going through the pain of mastering machine learning for images, videos, and text. Any reader who would like to get acquainted with Cloud AI services provided by Google will also find this book interesting.

    Readers need to have prior knowledge of working with REST API services and should have an idea of working with the MEAN application stack. Basic knowledge of TypeScript is also essential for successfully completing this book.

    What this book covers

    , Introducing Google Cloud AI Services , introduces you to the world of Google Cloud Platform (GCP). You will understand various services provided by GCP, and we will deep dive into all the services provided by Google Cloud AI services. You will understand the basics of machine learning and AI in this chapter and how they tie in with Cognition as a Service (CAAS).

    , Setting Up a Smart Forum App , walks you through the architecture and design of the application (SmartExchange) we will build. We will understand the database schema and the application stack. We will then download the base application and set it up. We will also set up the required keys for accessing Google Cloud AI services.

    , Cloud Vision API , explains how to work with the Cloud Vision API over REST API. We will explore various features that we can detect using this API. Finally, we will integrate the Cloud Vision API services with SmartExchange

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