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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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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

Summary

In this introductory chapter, we looked at the nature of the GCP and explored its services architecture. We created a new project and understood role creation and allocation. Although a new entrant on the cloud computing market, the GCP offers a complete set of services for a wide range of applications. We study these services in depth in the rest of this book.

We are now ready to get started with data science on the Google platform. In the next chapter, we'll create a VM instance on Google Compute Engine and install a data science Python stack with the Anaconda distribution. We'll explore the web UI and learn how to manage instances through the command line and the Google Shell.

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Hands-On Machine Learning on Google Cloud Platform
Published in: Apr 2018
Publisher: Packt
ISBN-13: 9781788393485
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