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)
8
Creating ML Applications with Firebase

Chatbots

The era of chatbots has now arrived, a new technological phenomenon that has helped generate a new way of interacting with machines, consequently creating businesses. Chatbots are robots that interact with users through a chat and are able to assist them by carrying out extremely limited tasks: providing information on a current account, buying a ticket, receiving news about the weather, and so on.

A chatbot processes the text presented by the user, before responding based on a complex set of algorithms that interpret and identify what the user has said. After deducting what the user requires, it determines a set of appropriate responses based on the information extracted from the context. Some chatbots offer an extraordinarily authentic conversational experience, in which it is very difficult to determine if the agent is a bot or a human being.

Chatbots are also one...