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Google Cloud Platform Cookbook

You're reading from   Google Cloud Platform Cookbook Implement, deploy, maintain, and migrate applications on Google Cloud Platform

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788291996
Length 280 pages
Edition 1st Edition
Languages
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Author (1):
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Legorie Rajan PS Legorie Rajan PS
Author Profile Icon Legorie Rajan PS
Legorie Rajan PS
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Toc

Table of Contents (9) Chapters Close

Preface 1. Compute 2. Storage and Databases FREE CHAPTER 3. Networking 4. Security 5. Machine Learning and Big Data 6. Management Tools 7. Best Practices 8. Other Books You May Enjoy

Introduction

In this chapter, we'll discover Google Cloud's offering on machine learning (ML) and a few big data services. GCP offers two kinds of ML platform—one where we can use our own data to train models using services like Cloud ML Engine, and another to use already trained ML models for specific use cases like that of Cloud Natural Language, Translation API, Vision API, Speech API, and Video Intelligence. We'll focus more on machine learning APIs in this chapter.

GCP provides a wide range of services for end to end big data processing, of which we'll look at three services in particular—Google BigQuery, Cloud Dataflow, and Pub/Sub.

One of the biggest strengths of GCP is their big data services and ML capabilities. The technology behind these services existed in Google even before the arrival of the public cloud.

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