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Published by O'Reilly Media (edition 1), 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Language: English
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Published by Sebastopol, California: O'Reilly Media, Inc., 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Language: English
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First Edition
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Published by O'Reilly Media 7/7/2020, 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Language: English
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Paperback or Softback. Condition: New. Practical Natural Language Processing: A Comprehensive Guide to Building Real-World Nlp Systems 1.59. Book.
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Paperback. Condition: New. Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.With this book, you'll:Understand the wide spectrum of problem statements, tasks, and solution approaches within NLPImplement and evaluate different NLP applications using machine learning and deep learning methodsFine-tune your NLP solution based on your business problem and industry verticalEvaluate various algorithms and approaches for NLP product tasks, datasets, and stagesProduce software solutions following best practices around release, deployment, and DevOps for NLP systemsUnderstand best practices, opportunities, and the roadmap for NLP from a business and product leader's perspective.
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Published by O'Reilly Media, Inc. 2020-06-30, 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Language: English
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Published by O'Reilly Media, Inc., 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Language: English
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Add to basketPaperback. Condition: New. Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.With this book, you'll:Understand the wide spectrum of problem statements, tasks, and solution approaches within NLPImplement and evaluate different NLP applications using machine learning and deep learning methodsFine-tune your NLP solution based on your business problem and industry verticalEvaluate various algorithms and approaches for NLP product tasks, datasets, and stagesProduce software solutions following best practices around release, deployment, and DevOps for NLP systemsUnderstand best practices, opportunities, and the roadmap for NLP from a business and product leader's perspective.
Published by O'Reilly Media, United States, Sebastopol, 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Language: English
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Add to basketPaperback. Condition: Very Good. Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. Youll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, youll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leaders perspective. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Published by O'Reilly Media, Inc., 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Language: English
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Add to basketPaperback. Condition: New. Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.With this book, you'll:Understand the wide spectrum of problem statements, tasks, and solution approaches within NLPImplement and evaluate different NLP applications using machine learning and deep learning methodsFine-tune your NLP solution based on your business problem and industry verticalEvaluate various algorithms and approaches for NLP product tasks, datasets, and stagesProduce software solutions following best practices around release, deployment, and DevOps for NLP systemsUnderstand best practices, opportunities, and the roadmap for NLP from a business and product leader's perspective.
Published by Oreilly & Associates Inc, 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Language: English
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Add to basketPaperback. Condition: Brand New. 375 pages. 9.50x7.00x1.00 inches. In Stock.
Published by O'reilly Media Jul 2020, 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - Building systems that can process and understand human language is supported in this manual. Advises on the evaluation of algorithms and the application of machine learning.
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Add to basketPaperback. Condition: New. Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.With this book, you'll:Understand the wide spectrum of problem statements, tasks, and solution approaches within NLPImplement and evaluate different NLP applications using machine learning and deep learning methodsFine-tune your NLP solution based on your business problem and industry verticalEvaluate various algorithms and approaches for NLP product tasks, datasets, and stagesProduce software solutions following best practices around release, deployment, and DevOps for NLP systemsUnderstand best practices, opportunities, and the roadmap for NLP from a business and product leader's perspective.