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

Product typeBook

Published inMar 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800569003

Edition1st Edition

Languages

Python

Tools

Azure Functions

Concepts

Machine Learning

Authors (2):

Somanath Nanda

Weslley Moura

View More author details

Dealing with text data

We have already learned how to transform categorical features into numerical representations, either using label encoders, ordinal encoders, or one-hot encoding. However, what if we have fields containing long piece of text in our dataset? How are we supposed to provide a mathematical representation for them in order to properly feed ML algorithms? This is a common issue in natural language processing (NLP), a subfield of AI.

NLP models aim to extract knowledge from texts; for example, translating text between languages, identifying entities in a corpus of text (also known as Name Entity Recognition (NER)), classifying sentiments from a user review, and many other applications.

Important note

In Chapter 2, AWS Application Services for AI/ML, you learned about some AWS application services that apply NLP to their solutions, such as Amazon Translate and Amazon Comprehend. During the exam, you might be asked to think about the fastest or easiest way (with...

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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Published in: Mar 2021Publisher: PacktISBN-13: 9781800569003

Authors (2)

Somanath Nanda

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.
Read more about Somanath Nanda

Weslley Moura

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.
Read more about Weslley Moura

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