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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 2. Google Compute Engine FREE CHAPTER 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 Machine Learning APIs

As seen in the previous chapter, machine learning is used in a wide variety of applications. However, a few applications are easy to build, while a few are very hard to build, especially for a user who is less familiar with machine learning. Some of the applications that we are going to discuss in this chapter fall in the hard to build category, as the process of building a machine learning model for these applications is data intensive, resource intensive, and requires a lot of knowledge in the field.

In this chapter, we will go over five machine learning APIs provided by Google (as of March 2018). These APIs are meant to be used out of the box, as RESTful APIs. For each service mentioned in the following, we will show what type of application can benefit from it, and how to interpret the returned results:

  • Vision has a label detection, OCR, face...
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