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  • 1
    Language: English
    Pages: 1 online resource (1 audio file (18 hr., 30 min.))
    Edition: [First edition].
    DDC: 006.35
    Keywords: Natural language processing (Computer science) ; Python (Computer program language) ; Natural language processing (Computer science) ; Python (Computer program language) ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: "Learn both the theory and practical skills needed to go beyond merely understanding the inner workings of NLP, and start creating your own algorithms or models." Dr. Arwen Griffioen, Zendesk Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries--all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. Inside: Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines This book/course requires a basic understanding of deep learning and intermediate Python skills. Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Provides a great overview of current NLP tools in Python. I'll definitely be keeping this book on hand for my own NLP work. Highly recommended! Tony Mullen, Northeastern University-Seattle An intuitive guide to get you started with NLP. The book is full of programming examples that help you learn in a very pragmatic way. Tommaso Teofili, Adobe Systems NARRATED BY MARK THOMAS
    Note: Online resource; title from title details screen (O'Reilly, viewed May 4, 2022)
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (544 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you’ll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.
    Note: Online resource; Title from title page (viewed April 28, 2019)
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: "Learn both the theory and practical skills needed to go beyond merely understanding the inner workings of NLP, and start creating your own algorithms or models." Dr. Arwen Griffioen, Zendesk Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you’ll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. Inside: Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines This book/course requires a basic understanding of deep learning and intermediate Python skills. Hobson Lane , Cole Howard , and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Provides a great overview of current NLP tools in Python. I’ll definitely be keeping this book on hand for my own NLP work. Highly recommended! Tony Mullen, Northeastern University–Seattle An intuitive guide to get you started with NLP. The book is full of programming examples that help you learn in a very pragmatic way. Tommaso Teofili, Adobe Systems NARRATED BY MARK THOMAS
    Note: Online resource; Title from title screen (viewed April 29, 2019) , Mode of access: World Wide Web.
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  • 4
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (45 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Text processing (Computer science) ; Natural language processing (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Explore the sentence_transformers package for loading a RoBERTa sentence encoder, which gives much better one-word summaries for long sentences, such as this one that you are reading right now ;).
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 5
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Python (Computer program language) ; Natural language processing (Computer science) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Start creating a rule-based dialog engine or state machine from scratch.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (36 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.35
    Keywords: Natural language processing (Computer science) ; Neural networks (Computer science) ; Natural Language Processing ; Neural Networks, Computer ; Traitement automatique des langues naturelles ; Réseaux neuronaux (Informatique) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Hobson updated Geoff's Chapter 12 PyTorch examples for training an encoder-decoder to translate between English and German or maybe even Ukrainian. Torchtext version 0.9 deprecated the `Field` and `Bucket` classes. These have been replaced by the `DataLoader` class built into pytorch directly. We no longer need customized abstractions to build torch natural language training sets!.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 26, 2022)
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  • 7
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (42 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Computers ; Artificial intelligence ; Natural Language Processing ; Computers ; Artificial Intelligence ; Traitement automatique des langues naturelles ; Ordinateurs ; Intelligence artificielle ; computers ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: The authors of the book "Natural Language Processing in Action, Second Edition'' work on some nessvec word embeddings for intent recognition and try to fix a bug in 'qary's' intent recognition logic. Also, they have built "therapy" skills for the `qary` virtual assistant (chatbot), which are based on the book "The Feeling Good Handbook" by David Burns.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 26, 2022)
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  • 8
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.35
    Keywords: Python (Computer program language) ; Natural language processing (Computer science) ; Neural networks (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this video, Hobson Lane uses nessvectors to measure the hotness and coolness of names and words.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 22, 2022)
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  • 9
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (49 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Machine learning ; Natural Language Processing ; Traitement automatique des langues naturelles ; Apprentissage automatique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In this video, Hobson shows how to index high dimensional vectors like word embeddings using a new approximate nearest neighbor algorithm by Leland McInnes. Along the way you can see how to explore an unfamiliar Python package like PyNNDescent without ever having to leave the keyboard (tab-completion, `help()`, `?` operator) And you will see how to use `SpaCy` language models to retrieve all sorts of NLU tags for words, including word vectors.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 26, 2022)
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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/12
    Keywords: Data mining ; Information retrieval ; Data Mining ; Information Storage and Retrieval ; Exploration de données (Informatique) ; Recherche de l'information ; information retrieval ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In this video Hobson shows how to download wikipedia article text to create a large corpora of grammatically correct sentences to train a text generation model on.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 26, 2022)
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