Book Image

Hands-On Machine Learning on Google Cloud Platform

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

Hands-On Machine Learning on Google Cloud Platform

By: Giuseppe Ciaburro, V Kishore Ayyadevara, 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)
8
Creating ML Applications with Firebase

Summary

In this chapter, an introduction of the BigQuery and Data Studio platform to manage and view data are proposed. To start, we explored the big data and the problems associated with managing large amounts of data. Then we analyzed how to organize data in a structured format to correctly query databases.

After this, you were introduced to SQL. SQL is a language for defining and manipulating data. As a manipulation language, SQL allows to select data of interest from the base and to update its content. The queries are used both in the SQL constructs of data definition and in those of updating the database.

Then a Google BigQuery introduction was performed. BigQuery is a web service that enables interactive analysis of massively large datasets. BigQuery enables companies and developers around the world to manage large amounts of data in real time, without the support of any...