Paperback or Softback. Zustand: New. Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing. Book.
Anbieter: Lakeside Books, Benton Harbor, MI, USA
EUR 38,90
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Anbieter: Lucky's Textbooks, Dallas, TX, USA
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 61,08
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In den WarenkorbPaperback. Zustand: Brand New. 150 pages. 9.00x6.00x0.25 inches. In Stock.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 63,64
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Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: New.
Verlag: Apress
Anbieter: Academic Book Solutions, Medford, NY, USA
Paperback. Zustand: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.
Taschenbuch. Zustand: Neu. Applied Natural Language Processing with Python | Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing | Taweh Beysolow Ii | Taschenbuch | xv | Englisch | 2018 | APRESS | EAN 9781484237328 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 Pythonstarts 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 LearnUtilize 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 algorithmsWho This Book Is ForYou 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. 168 pp. Englisch.
Anbieter: moluna, Greven, Deutschland
EUR 52,37
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers NLP packages such as NLTK, gensim,and SpaCy Approaches topics such as topic modeling and text summarization in a beginner-friendly mannerExplains how to ingest text data via web crawlers for use in dee.
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 168 pp. Englisch.
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 Pythonstarts 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 LearnUtilize 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 algorithmsWho This Book Is ForYou 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.