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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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Paperback / softback
12 September 2018
RRP: $98.99
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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.

You Can Find This Title In

    Product Details
    ISBN-13
    9781484237328
    Author
    Taweh Beysolow II
    Publisher
    Springer Nature B.V.
    Published
    12 September 2018
    Format
    Paperback / softback

    This product hasn't received any reviews yet. Be the first to review this product!

    RRP: $98.99
    $97.01
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Applied Natural Language Processing with Python

    RRP: $98.99
    $97.01

    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.

    You Can Find This Title In

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