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Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

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Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

Category

Python

Machine Learning

Deep Learning

Natural Language Processing

Author

Taweh Beysolow II

Publication

Apress

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Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms.
Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment.

What You Will Learn

Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim
Manipulate and preprocess raw text data in formats such as .txt and .pdf
Strengthen your skills in data science by learning both the theory and the application of various algorithms

Who This Book Is For
You should be at least a beginner in ML to get the most out of this text, but you neednt feel that you need be an expert to understand the content.

'

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ISBN-10

ISBN-13

9781484237328

Publisher

Apress

Price

12.94

File Type

PDF

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0

Taweh Beysolow II

Taweh Beysolow II

From the Back Cover

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms.
Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment.
You will:

Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim
Manipulate and preprocess raw text data in formats such as .txt and .pdf
Strengthen your skills in data science by learning both the theory and the application of various algorithms

--This text refers to the paperback edition.

About the Author

Taweh Beysolow II is a Machine Learning Scientist and Author currently based in the United States. He has a Bachelor of Science degree in Economics from St. Johns University and a Master of Science in Applied Statistics from Fordham University. His professional experience has included applying machine learning and natural language processing techniques to financial, text (structured and unstructured), and social media data. --This text refers to the paperback edition.

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