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 fundamentals

Chat bots, or chatbots, are programs that can interact through a chat with a human being, simulating their behavior. A conversation is then established between the human and the robot. Since the first developments in computer science, in collaboration with other disciplines, scholars have tried to reproduce typically human cognitive processes through the use of machines. They are usually used for simple and repetitive activities, which may otherwise take a lot of time or which are not worth assigning a human resource.

Given their complexity, it is obvious that, in this case, you cannot speak of a satisfactory simulation of people's own behavior, but can nevertheless begin to refer to the concept of AI.

The bot can execute a scheme and show its operation. Bots can do anything, from responding to messages automatically to allowing online purchases. They...