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portada Applied Natural Language Processing With Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
Type
Physical Book
Author
Publisher
Year
2018
Language
English
Pages
168
Format
Paperback
Dimensions
23.4x15.6x0.9 cm
Weight
0.24 kg.
ISBN13
9781484237328
Edition No.
1
Categories

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

Taweh Beysolow II (Author) · Apress · Paperback

Applied Natural Language Processing With Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing - Beysolow II, Taweh

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Synopsis "Applied Natural Language Processing With Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing "

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 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 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.

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