Natural Language Processing in Action: Understanding, analyzing, and generating text with Python - Brossura
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sugli autori
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Natural Language Processing in Action: Understanding, analyzing, and generating text with Python
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Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
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Manning Publications, 2019
ISBN 10: 1617294632
ISBN 13: 9781617294631
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Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_429545507
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Natural Language Processing in Action
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Natural Language Processing in Action (Paperback)
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Manning Publications, New York, 2019
ISBN 10: 1617294632
ISBN 13: 9781617294631
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Paperback. Condizione: 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 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. 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. Codice articolo 9781617294631
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