Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS

© Himanshu Singh 2021

H. SinghPractical Machine Learning with AWS https://doi.org/10.1007/978-1-4842-6222-1_10

10. Machine Learning Use Cases in AWS

Himanshu Singh¹  

(1)

ALLAHABAD, Uttar Pradesh, India

 

In this chapter, we will explore three use cases in which AWS can be used to solve typical machine learning problems, without writing too much code. We will use some of the AWS services besides SageMaker.

Use Case 1: Natural Language Processing Using Amazon Comprehend

Amazon Comprehend is a service in AWS that can perform various NLP tasks such as key entities extraction from text, sentiment analysis, phrases extraction, syntax check, language detection, topic modeling, and document classification. Amazon Comprehend provides a UI that we can use to train ...