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Applied Natural Language Processing with Python - Beysolow Ii, Taweh

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    Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9781484237328_dbm

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        Présentation Applied Natural Language Processing With Python de Beysolow Ii, Taweh Format Broché

         - Livre Informatique

        Livre Informatique - Beysolow Ii, Taweh - 31/08/2018 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Beysolow Ii, Taweh
      • Editeur : Apress
      • Langue : Anglais
      • Parution : 31/08/2018
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 168
      • Expédition : 265
      • Dimensions : 23.5 x 15.5 x 1.0
      • ISBN : 1484237323



      • Résumé :

        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.

        Biographie:
        Taweh Beysolow II is a data scientist and author currently based in the United States. He has a Bachelor of Science degree in economics from St. Johns University and a Master of Science in Applied Statistics from Fordham University. After successfully exiting the startup he co-founded, he now is a Director at Industry Capital, a San Francisco based Private Equity firm, where he helps lead the Cryptocurrency and Blockchain platforms....

        Sommaire:

        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.
        ...

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