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>

Related Content you might be interested in

Current Title:

Small book image
Machine Learning with AWS
Jeffrey Jackovich | Ruze Richards
Nov, 2018 | 254 pages
Small book image
Amazon Connect: Up and Running
Jeff Armstrong
Apr, 2021 | 338 pages
Small book image
Natural Language Processing with AWS AI Services
Mona M | Premkumar Rangarajan
Nov, 2021 | 508 pages
Small book image
Hands-On Chatbot Development with Alexa Skills and Amazon Lex
Sam Williams
Sep, 2018 | 266 pages
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

Using Amazon Lex Chatbots with Amazon Connect

With Amazon Lex, you can create intelligent chatbots. This can be done by converting contact flows into regular conversations. The Amazon Connect service compliments the forementioned feature by enabling the creation of a contact center (cloud base) along with the generation of dynamic flows. This delivers a personalized experience to your callers. Additionally, Dual-tone multi-frequency (DTMF) digits entered by callers during a call can be easily recognized by these chatbots.

With both Amazon Lex and Amazon Connect working in sync, the chatbot can gauge the callers’ intent. Furthermore, you can use the AWS Lambda function along with your chatbot for processing caller requests, providing information to callers, and querying applications. These chatbots are capable of maintaining context by intelligently managing dialogue and review replies based on callers’ responses on the fly.

In the next section, we will connect your MarketNanny chatbot to the...

Previous Section
End of Section 6
Next Section