Beysolow Ii Taweh
Beysolow Ii Taweh - Applied Natural Language Processing With Python Implementing Machine Learning And Deep Learning Algorithms For Natural Language Processing - Paperback
Beysolow Ii Taweh - Applied Natural Language Processing With Python Implementing Machine Learning And Deep Learning Algorithms For Natural Language Processing - Paperback
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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 Tensor Flow 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.
Title: Applied Natural Language Processing With Python Implementing Machine Learning And Deep Learning Algorithms For Natural Language Processing
Author(s): Beysolow Ii Taweh
Publisher: Apress
Barcode: 9781484237328
Pages: 150 Pages, 32 Illustrations, Black And White; Xv, 150 P. 32 Illus.
Publication Date: 9/12/2018
Category: Databases
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 Tensor Flow 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.
Title: Applied Natural Language Processing With Python Implementing Machine Learning And Deep Learning Algorithms For Natural Language Processing
Author(s): Beysolow Ii Taweh
Publisher: Apress
Barcode: 9781484237328
Pages: 150 Pages, 32 Illustrations, Black And White; Xv, 150 P. 32 Illus.
Publication Date: 9/12/2018
Category: Databases
