Book Image

Machine Learning with AWS

By : Jeffrey Jackovich, Ruze Richards
Book Image

Machine Learning with AWS

By: Jeffrey Jackovich, Ruze Richards

Overview of this book

<p>Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation and understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, you will learn all that there is to know about using AWS to your advantage. You will also understand how to process huge numbers of images fast and create machine learning models.</p> <p>By the end of this book, you will have developed the skills you need to efficiently use AWS in your machine learning and artificial intelligence projects.</p>
Table of Contents (9 chapters)
Machine Learning with AWS
Preface

Interacting with the Chatbot


Using Connect to interact with your chatbot by voice, requires that you first set up a call center within Connect. The call center receives a free local phone number (or a US toll-free number, in the United States). This number can be connected to an Amazon Lex chatbot; in our case, this will be the chatbot that we have already created (MarketNanny). The chatbot uses the Lambda serverless service to get data from an external API and relay it back to the user on the phone:

Reference for image: https://aws.amazon.com/connect/connect-lexchatbot/

Figure 5.1: A sample voice-based chatbot application using Amazon Connect, Lex, and Lambda