9781617294631 - natural language processing in action: understanding, analyzing, and generating text with python de hobson, lane; cole, howard; hannes, hapke (35 resultados)
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Paperback. Condición: Good. Description Modern NLP techniques based on machine learning radically improve the ability of software to recognize patterns, use context to infer meaning, and accurately discern intent from poorly-structured text. In Natural Language Processing in Action, readers explore carefully chosen examples and…expand their machine's knowledge which they can then apply to a range of challenges. Key Features ? Easy-to-follow ? Clear examples ? Hands-on-guide Audience A basic understanding of machine learning and some experience with a modern programming language such as Python, Java, C++, or JavaScript will be helpful. About the technology Natural Language Processing (NLP) is the discipline of teaching computers to read more like people, and readers can see examples of it in everything from chatbots to the speech-recognition software on their phone. Hobson Lane has more than 15 years of experience building autonomous systems that make important decisions on behalf of humans. Hannes Hapke is an Electrical Engineer turned Data Scientist with experience in deep learning. Cole Howard is a carpenter and writer turned Deep Learning expert.
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Natural Language Processing in Action : Understanding, Analyzing, and Generating Text with Python
Cole Howard, Cole, Hannes Hapke, Hannes, Hobson Lane, Hobson
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Natural Language Processing in Action : Understanding, Analyzing, and Generating Text with Python
Cole Howard, Cole, Hannes Hapke, Hannes, Hobson Lane, Hobson
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Librería: Better World Books, Mishawaka, IN, Estados Unidos de AmericaBetter World Books
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Natural Language Processing in Action : Understanding, Analyzing, and Generating Text with Python
Cole Howard, Cole, Hannes Hapke, Hannes, Hobson Lane, Hobson
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paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.
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Paperback. Condición: new. Paperback. Description Modern NLP techniques based on machine learning radically improve the ability of software to recognize patterns, use context to infer meaning, and accurately discern intent from poorly-structured text. In Natural Language Processing in Action, readers explore carefully chosen exa…mples and expand their machine's knowledge which they can then apply to a range of challenges. Key Features Easy-to-follow Clear examples Hands-on-guide Audience A basic understanding of machine learning and some experience with a modern programming language such as Python, Java, C++, or JavaScript will be helpful. About the technology Natural Language Processing (NLP) is the discipline of teaching computers to read more like people, and readers can see examples of it in everything from chatbots to the speech-recognition software on their phone. Hobson Lane has more than 15 years of experience building autonomous systems that make important decisions on behalf of humans. Hannes Hapke is an Electrical Engineer turned Data Scientist with experience in deep learning. Cole Howard is a carpenter and writer turned Deep Learning expert. Modern NLP techniques based on machine learning radically improve the ability of software to recognise patterns, use context to infer meaning and accurately discern intent from poorly-structured text. Here, readers explore carefully chosen examples and expand their machine's knowledge which they can then apply to a range of challenges. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condición: New. Description Modern NLP techniques based on machine learning radically improve the ability of software to recognize patterns, use context to infer meaning, and accurately discern intent from poorly-structured text. In Natural Language Processing in Action, readers explore carefully chosen examples and e…xpand their machine's knowledge which they can then apply to a range of challenges. Key Features . Easy-to-follow . Clear examples . Hands-on-guide Audience A basic understanding of machine learning and some experience with a modern programming language such as Python, Java, C++, or JavaScript will be helpful. About the technology Natural Language Processing (NLP) is the discipline of teaching computers to read more like people, and readers can see examples of it in everything from chatbots to the speech-recognition software on their phone. Hobson Lane has more than 15 years of experience building autonomous systems that make important decisions on behalf of humans. Hannes Hapke is an Electrical Engineer turned Data Scientist with experience in deep learning. Cole Howard is a carpenter and writer turned Deep Learning expert.
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Taschenbuch. Condición: Neu. Neuware - SummaryNatural 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.Purchase of the print book includes a free Elektronisches Buch in PDF, Kindle, and ePub formats fro…m Manning Publications.About the TechnologyRecent 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 summariesall at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before.About the BookNatural 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.What's 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 pipelinesAbout the ReaderThis book requires a basic understanding of deep learning and intermediate Python skills.About the AuthorHobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production.Table of ContentsPART 1 - WORDY MACHINES- Packets of thought (NLP overview)- Build your vocabulary (word tokenization)- Math with words (TF-IDF vectors)- Finding meaning in word counts (semantic analysis)PART 2 - DEEPER LEARNING (NEURAL NETWORKS)- Baby steps with neural networks (perceptrons and backpropagation)- Reasoning with word vectors (Word2vec)- Getting words in order with convolutional neural networks (CNNs)- Loopy (recurrent) neural networks (RNNs)- Improving retention with long short-term memory networks- Sequence-to-sequence models and attentionPART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES)- Information extraction (named entity extraction and question answering)- Getting chatty (dialog engines)- Scaling up (optimization, parallelization, and batch processing).
