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Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing - Couverture souple
Synopsis
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.
- 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 needn't feel that you need be an expert to understand the content.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurApress
- Date d'édition2018
- ISBN 10 1484237323
- ISBN 13 9781484237328
- ReliureBroché
- Langueanglais
- Numéro d'édition1
- Nombre de pages168
- Coordonnées du fabricantnon disponible
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers NLP packages such as NLTK, gensim,and SpaCy Approaches topics such as topic modeling and text summarization in a beginner-friendly mannerExplains how to ingest text data via web crawlers for use in dee. N° de réf. du vendeur 224215399
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 Pythonstarts 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 LearnUtilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and GensimManipulate and preprocess raw text data in formats such as .txt and .pdfStrengthen your skills in data science by learning both the theory and the application of various algorithmsWho This Book Is ForYou should be at least a beginner in ML to get the most out of this text, but you needn't feel that you need be an expert to understand the content. 168 pp. Englisch. N° de réf. du vendeur 9781484237328
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 Pythonstarts 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 LearnUtilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and GensimManipulate and preprocess raw text data in formats such as .txt and .pdfStrengthen your skills in data science by learning both the theory and the application of various algorithmsWho This Book Is ForYou should be at least a beginner in ML to get the most out of this text, but you needn't feel that you need be an expert to understand the content. N° de réf. du vendeur 9781484237328
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Applied Natural Language Processing with Python
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ISBN 10 : 1484237323
ISBN 13 : 9781484237328
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 168 pp. Englisch. N° de réf. du vendeur 9781484237328
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