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 first part of this chapter, you will learn how to analyze Topic modeling output from Amazon Comprehend. Specifically, you will learn the fundamentals of the algorithm used for Topic modeling, Latent Dirichlet Allocation (LDA). Learning LDA will allow you to apply Topic modeling to a multitude of unique business use cases.

You will then perform Topic modeling on two documents with a known Topic structure. The first is the story Romeo and Juliet and the second is War of the Worlds. Lastly, you will analyze topics from 1,000 text documents containing negative movie reviews with Amazon Comprehend.