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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 FREE CHAPTER 2. Design and Business Considerations 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

Google Cloud Platform

Google Cloud AI provides ML services through its well-defined APIs. These services are very fast, easily scalable, and easy to use in practice. The users can use Neural-network-based machine learning algorithms for better performance of their applications.

The GCP provides various types of applications built on an AI platform and is used in many of Google's products. The user’s application customization of ML on neural networks can be done by using AutoML. Optimization of ML is allowed through GCP AI TensorFlow workload APIs. Data storage and retrieval are also made easy through Cloud Storage and Cloud Dataflow services. Users can share their thoughts or experiences and make conversations across all domains and devices. Analytical tools are also provided separately for images, videos, audio or speech, text, and other miscellaneous applications...

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