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Applied Natural Language Processing with Python

Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

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Éditeur :

Apress


Paru le : 2018-09-11



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Description


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 needn’t feel that you need be an expert to understand the content.
Pages
150 pages
Collection
n.c
Parution
2018-09-11
Marque
Apress
EAN papier
9781484237328
EAN PDF
9781484237335
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
3021 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
62,11 €
EAN EPUB
9781484237335
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
2867 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
62,11 €

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