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

Introduction


In the previous chapter, you learned how to create the MarketNanny chatbot using the Amazon Lex service. You are able to interact with the chatbot using natural language speech via a textbox, and the chatbot is able to query an external service API to get the information to send back to you.

In this chapter, you will interact with the MarketNanny chatbot using speech, rather than text. First, you will set up a call center within Amazon Connect, with a local phone number. Then, you will connect MarketNanny to Amazon Connect.

Finally, you will test the chatbot by speaking to it; this will be done by calling it. By the end of this chapter, you will be able to talk to your MarketNanny bot via a telephone interface, using the Amazon Connect interface.