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  • Book Overview & Buying Hands-On Machine Learning on Google Cloud Platform
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Hands-On Machine Learning on Google Cloud Platform

Hands-On Machine Learning on Google Cloud Platform

By : Perrier, Giuseppe Ciaburro, V Kishore Ayyadevara
3.5 (2)
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Hands-On Machine Learning on Google Cloud Platform

Hands-On Machine Learning on Google Cloud Platform

3.5 (2)
By: Perrier, Giuseppe Ciaburro, V Kishore Ayyadevara

Overview of this book

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 this book, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems.
Table of Contents (18 chapters)
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8
Creating ML Applications with Firebase

Approaching big data

The explosion of social networks, combined with the unstoppable spread of smartphones, justifies the fact that one of the recurring terms in the world of innovation, marketing, and information technology in recent years is big data. This term indicates data produced in large quantities, with considerable speed, and in the most diverse formats, the processing of which requires technologies and resources that go well beyond the conventional systems of management and storage of data. But what is enclosed in this term?

In a widely quoted article, The Age of Big Data, Steve Lohr (a technology reporter for The New York Times) explained big data in this way:

"What is Big Data? A meme and a marketing term, for sure, but also shorthand for advancing trends in technology that open the door to a new approach to understanding the world and making decisions.&quot...
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Hands-On Machine Learning on Google Cloud Platform
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