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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, yo...
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Antitrust law --- Monopolies --- Google (Firm)
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Written by two Google Cloud experts, this book will help you to create a concrete foundation of Cloud Build so that you can define workflows and pipelines as builds in Google Cloud Build Key Features Learn Cloud Build's API and build configuration/schema Apply scalability and security best practices for using Cloud Build Integrate Cloud Build with external systems critical to workflows Book Description When adopting cloud infrastructure, you are often looking to modernize the automation of workflows such as continuous integration and software delivery. Minimizing operational overhead via fully managed solutions such as Cloud Build can be tough. Moreover, learning Cloud Build's API and build schema, scalability, security, and integrating Cloud Build with other external systems can be challenging. This book helps you to overcome these challenges by cementing a Google Cloud Build foundation. The book starts with an introduction to Google Cloud Build and explains how it brings value via automation. You will then configure the architecture and environment in which builds run while learning how to execute these builds. Next, you will focus on writing and configuring fully featured builds and executing them securely. You will also review Cloud Build's functionality with practical applications and set up a secure delivery pipeline for GKE. Moving ahead, you will learn how to manage safe roll outs of cloud infrastructure with Terraform. Later, you will build a workflow from local source to production in Cloud Run. Finally, you will integrate Cloud Build with external systems while leveraging Cloud Deploy to manage roll outs. By the end of this book, you'll be able to automate workflows securely by leveraging the principles of Google Cloud Build. What you will learn Get started with Cloud Build the right way Define new workflows using the Cloud Build schema Implement a secure build and deployment environment for GKE Automate serverless workflows for Cloud Run and Cloud Functions Integrate Cloud Build with source code management and artifact stores Develop a Cloud Build strategy for your organization Who this book is for This book is for cloud engineers and DevOps engineers who manage cloud environments and desire to automate workflows in a fully managed, scalable, and secure platform. You are expected to have an understanding of cloud fundamentals, software delivery, and containerization fundamentals to get the most out of this book.
Cloud computing. --- Automation. --- Google (Firm)
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Antitrust law --- Monopolies --- Google (Firm)
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Internet industry --- Google (Firm) --- History.
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"Examines the origins and growth of Google, its founders, Larry Page and Sergey Brin, and how the company rose to the top of the market."--
Google (Firm) --- Internet industry --- Technology
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Internet industry --- Management. --- Google (Firm) --- Management
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Wind power --- Kites --- Mathematical models. --- Google (Firm)
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Browsers (Computer programs) --- Entrepreneurship --- Google (Firm)
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