Name: Applied Natural Language Processing With Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing (en Inglés)
Price: 210.41 PEN
Availability: InStock
Author: Beysolow II, Taweh
ISBN: 9781484237328

portada Applied Natural Language Processing With Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing (en Inglés)

Formato

Libro Físico

Autor

Taweh Beysolow II

Editorial

Apress

Año

2018

Idioma

Inglés

N° páginas

168

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 0.9 cm

Peso

0.24 kg.

ISBN13

9781484237328

N° edición

Categorías

Lenguajes de programación scripting
Ciencias de la computación

Applied Natural Language Processing With Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing (en Inglés)

Taweh Beysolow II (Autor) · Apress · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Applied Natural Language Processing With Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing (en Inglés)"

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.