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Unleash Google's Cloud Platform to build, train and optimize machine learning models About This Book Get well versed in GCP pre-existing services to build your own smart models A comprehensive guide covering aspects from data processing, analyzing to building and training ML models A practical approach to produce your trained ML models and port them to your mobile for easy access Who This Book Is For This book is for data scientists, machine learning developers and AI developers who want to learn Google Cloud Platform services to build machine learning applications. Since the interaction with the Google ML platform is mostly done via the command line, the reader is supposed to have some familiarity with the bash shell and Python scripting. Some understanding of machine learning and data science concepts will be handy What You Will Learn Use Google Cloud Platform to build data-based applications for dashboards, web, and mobile Create, train and optimize deep learning models for various data science problems on big data Learn how to leverage BigQuery to explore big datasets Use Google's pre-trained TensorFlow models for NLP, image, video and much more Create models and architectures for Time series, Reinforcement Learning, and generative models Create, evaluate, and optimize TensorFlow and Keras models for a wide range of applications In Detail Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also host them in the cloud to make predictions. This book is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to create powerful machine learning based applications for a wide variety of problems by leveraging different data services from the Google Cloud Platform. Applications include NLP, Speech to text, Reinforcement learning, Time series, recommender systems, image classification, video content inference and many other. We will implement a wide variety of deep learning use cases and also make extensive use of data related services comprising the Google Cloud Platform ecosystem such as Firebase, Storage APIs, Datalab and so forth. This will enable you to integrate Machine Learning and data processing features into your web and mobile applications. By the end of th...

Machine learning. --- Cloud computing. --- Google (Firm) --- Google.

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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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This open access book presents an overview on seep systems in South China Sea. It includes numerous illustrations and photographs of the seeps that never seen before. It also introduces multidisciplinary research results to stimulate further research interest.

Electronic books. --- Google Library Project. --- Books in machine-readable form --- Digital books --- E-books --- Ebooks --- Online books --- Books --- Electronic publications --- Google Books Library Project --- Google Book Search Library Project --- Google (Firm). --- Google livres (Project) --- Google Print Library Project

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This open access book systematically summarizes the current research progress of attachment ventilation, covering vertical wall attachment, column attachment, and adaptive attachment ventilation. Attachment ventilation is a high-performance ventilation mode that was first proposed by the author, Prof. Angui Li 20 years ago. Now it has been widely used in office spaces, subway stations, high-speed railway stations, international airport terminals, and other large spaces. This book introduces attachment ventilation in detail to eliminate the cooling/heating load of the occupied zone and provide an expected environment for the air-conditioned zone. Attachment ventilation combines the advantages of traditional mixed ventilation and displacement ventilation. This book consists of six chapters, covering a series of airflow patterns, mechanisms, parameter correlations, and attachment ventilation design methods. It is helpful for HVAC engineers to design attachment ventilation effectively.

Electronic books. --- Google Library Project. --- Books in machine-readable form --- Digital books --- E-books --- Ebooks --- Online books --- Books --- Electronic publications --- Google Books Library Project --- Google Book Search Library Project --- Google (Firm). --- Google livres (Project) --- Google Print Library Project

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Copyright --- Fair use (Copyright) --- Google Library Project.