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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

You're reading from  AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Product type Book
Published in Mar 2021
Publisher Packt
ISBN-13 9781800569003
Pages 338 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Somanath Nanda Somanath Nanda
Profile icon Somanath Nanda
LinkedIn
Somanath has 10 years of working experience in IT industry which includes Prod development, Devops, Design and architect products from end to end. He has also worked at AWS as a Big Data Engineer for about 2 years.
See other products by Somanath Nanda
Weslley Moura Weslley Moura
Profile icon Weslley Moura
LinkedIn
Weslley Moura has been developing data products for the past decade. At his recent roles, he has been influencing data strategy and leading data teams into the urban logistics and blockchain industries.
See other products by Weslley Moura
View More author details

Table of Contents (14) Chapters

Preface 1. Section 1: Introduction to Machine Learning
2. Chapter 1: Machine Learning Fundamentals 3. Chapter 2: AWS Application Services for AI/ML 4. Section 2: Data Engineering and Exploratory Data Analysis
5. Chapter 3: Data Preparation and Transformation 6. Chapter 4: Understanding and Visualizing Data 7. Chapter 5: AWS Services for Data Storing 8. Chapter 6: AWS Services for Data Processing 9. Section 3: Data Modeling
10. Chapter 7: Applying Machine Learning Algorithms 11. Chapter 8: Evaluating and Optimizing Models 12. Chapter 9: Amazon SageMaker Modeling 13. Other Books You May Enjoy

Implementing natural language processing with Amazon Comprehend

This service helps you extract insights from unstructured text. Unstructured text information is growing exponentially. A few data source examples are as follows:

  • Customer engagement: Call center, issue triage, customer surveys, and product reviews
  • Business processes: Customer/vendor emails, product support messages, and operation support feedback
  • Records and research: Whitepapers and medical records
  • News and social media: Social media analytics, brand trends, and correlated events

Now, the question is, what can we do with this data? How can we analyze it and extract any value out of it? The answer is Amazon Comprehend, which is used to get insights from your unstructured data.

Some common uses of Amazon Comprehend include the following:

  • Information management system
  • More accurate search system on organized topics
  • Sentiment analysis of users
  • Support ticket classification...
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Authors (2)

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Profile icon Somanath Nanda
LinkedIn
Somanath has 10 years of working experience in IT industry which includes Prod development, Devops, Design and architect products from end to end. He has also worked at AWS as a Big Data Engineer for about 2 years.
See other products by Somanath Nanda
Profile icon Weslley Moura
LinkedIn
Weslley Moura has been developing data products for the past decade. At his recent roles, he has been influencing data strategy and leading data teams into the urban logistics and blockchain industries.
See other products by Weslley Moura
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