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Hands-On Machine Learning on Google Cloud Platform

You're reading from   Hands-On Machine Learning on Google Cloud Platform Implementing smart and efficient analytics using Cloud ML Engine

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788393485
Length 500 pages
Edition 1st Edition
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Authors (3):
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Alexis Perrier Alexis Perrier
Author Profile Icon Alexis Perrier
Alexis Perrier
V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Toc

Table of Contents (18) Chapters Close

Preface 1. Introducing the Google Cloud Platform FREE CHAPTER 2. Google Compute Engine 3. Google Cloud Storage 4. Querying Your Data with BigQuery 5. Transforming Your Data 6. Essential Machine Learning 7. Google Machine Learning APIs 8. Creating ML Applications with Firebase 9. Neural Networks with TensorFlow and Keras 10. Evaluating Results with TensorBoard 11. Optimizing the Model through Hyperparameter Tuning 12. Preventing Overfitting with Regularization 13. Beyond Feedforward Networks – CNN and RNN 14. Time Series with LSTMs 15. Reinforcement Learning 16. Generative Neural Networks 17. Chatbots

Google Cloud Storage

In this chapter, we will explore two data storage services from the Google Cloud platform, Google Storage, for files, and Google SQL, for structured data. Google Storage is a file-hosting service that allows you to store files in the cloud. Quite simple and straightforward, it is very similar to the Amazon S3 service. To go beyond basic usage, we will look into some advanced subjects, such as signed-URLs, collaboration bucket settings, optimizing upload speeds, and transferring big datasets

Google SQL is Google's simple SQL database service. Less developed at the moment than Amazon SQL services in terms of types of SQLs, it comes with MySQL as the main database. A beta version of Postgre is also available. We will look at the differences between the two in terms of respective functionalities.

Making services talk to one another, or more precisely, allowing...

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