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 BigQuery

Data represents a fundamental factor for the management and growth of companies. Ensuring that data is protected, available and easily accessible is a fundamental requirement of any IT department. More importantly, another requirement is to ensure that data is used in the correct way: to manage processes, to inform decision makers, and to intervene intelligently in changing circumstances.

The way companies ensure data availability is rapidly changing. Cloud computing has seen impressive growth in recent years, both as a concept and as a practical component of the IT infrastructure.

Cloud computing is a technology that allows the use, via remote server, of software and hardware resources (such as mass storage for data storage), whose use is offered as a service by a provider, specifically by subscription.

A particularly interesting Cloud computing solution is...