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

Setting Up with Amazon Lex


Introduction

For this exercise, we will be creating a sample chatbot, which is an option provided with Amazon Lex. The goal here is to understand the various components of the sample chatbot and relate them to the previous topic, where you learned about Natural Language Understanding components. After this exercise, you should be able to navigate the Lex user interface and easily create intents, Slots, and Slot types easily for your next exercise, where you will build a custom chatbot based on your own business logic.

Exercise 15: Creating a Sample Chatbot to Order Flowers

In this exercise, we will create and test the sample chatbot as a means to gain familiarity with the Amazon Lex console interface. The following are the steps for completion for creating a sample chatbot:

Figure 4.2: Sample chatbot interface

  1. Let's first navigate to the Amazon Lex main screen. You can click on the Lex service link from the main AWS console screen or navigate directly to https://console...