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>

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Table of Contents (9 chapters)
Machine Learning with AWS
Machine Learning with AWS
Preface
Preface
Free Chapter
1
Introduction to Amazon Web Services
Introduction to Amazon Web Services
Introduction
What is AWS?
What is Amazon S3?
Core S3 Concepts
Data Replication
AWS Command-Line Interface (CLI)
Command Line-Interface (CLI) Usage
Recursion and Parameters
Using the AWS Console to Identify Machine Learning Services
Summary
2
Summarizing Text Documents Using NLP
Summarizing Text Documents Using NLP
Introduction
What is Natural Language Processing?
Using Amazon Comprehend to Inspect Text and Determine the Primary Language
Extracting Information in a Set of Documents
Setting up a Lambda function and Analyzing Imported Text Using Comprehend
Summary
3
Perform Topic Modeling and Theme Extraction
Perform Topic Modeling and Theme Extraction
Introduction
Extracting and Analyzing Common Themes
4
Creating a Chatbot with Natural Language
Creating a Chatbot with Natural Language
Introduction
What is a Chatbot?
What is Natural Language Understanding?
Setting Up with Amazon Lex
Creating a Custom Chatbot
A Bot Recognizing an Intent and Filling a Slot
Lambda Function – Implementation of Business Logic
Summary
5
Using Speech with the Chatbot
Using Speech with the Chatbot
Introduction
Amazon Connect Basics
Interacting with the Chatbot
Talking to Your Chatbot through a Call Center using Amazon Connect
Using Amazon Lex Chatbots with Amazon Connect
Summary
6
Analyzing Images with Computer Vision
Analyzing Images with Computer Vision
Introduction
Amazon Rekognition Basics
Rekognition and Deep Learning
Summary
Appendix A
Appendix A
Chapter 1: Introduction to Amazon Web Services
Chapter 2: Summarizing Text Documents Using NLP
Chapter 3: Perform Topic Modeling and Theme Extraction
Chapter 4: Creating a Chatbot with Natural Language
Chapter 5: Using Speech with the Chatbot
Chapter 6: Analyzing Images with Computer Vision

Amazon Connect Basics

Amazon Connect is a service from AWS that allows for the creation of cloud-based contact centers. This means that people can use a telephone number to contact the service and have conversations with bots or human representatives. In this case, we are primarily interested in automating interaction, using the chatbot that we built previously.

Some key features of Amazon Connect are as follows:

  • It is easy to set up and use Connect with workflows that are defined using a graphical editor.

  • There is no infrastructure to deploy or manage, so contact centers can be scaled up and down quickly.

  • It is a pay-as-you-go service, so there is no setup or monthly fees. We will be using the free tier, so we should not have to pay anything to use the service. For commercial usage, charges are based on per minute rates.

  • Connect is deployed in 42 availability zones, within 16 geographic regions.

Free Tier Information

In this book, you will only be using the free tier of the services presented...

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