Book Image

Hands-On Machine Learning on Google Cloud Platform

By : Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier
Book Image

Hands-On Machine Learning on Google Cloud Platform

By: Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier

Overview of this book

Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also host them in the cloud to make predictions. This book is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to create powerful machine learning based applications for a wide variety of problems by leveraging different data services from the Google Cloud Platform. Applications include NLP, Speech to text, Reinforcement learning, Time series, recommender systems, image classification, video content inference and many other. We will implement a wide variety of deep learning use cases and also make extensive use of data related services comprising the Google Cloud Platform ecosystem such as Firebase, Storage APIs, Datalab and so forth. This will enable you to integrate Machine Learning and data processing features into your web and mobile applications. By the end of this book, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems.
Table of Contents (18 chapters)
Creating ML Applications with Firebase

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...