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Practical Natural Language Processing A Comprehensive Guide To Building Realworld Nlp Systems Sowmya Vajjala

  • SKU: BELL-25766928
Practical Natural Language Processing A Comprehensive Guide To Building Realworld Nlp Systems Sowmya Vajjala
$ 31.00 $ 45.00 (-31%)

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Practical Natural Language Processing A Comprehensive Guide To Building Realworld Nlp Systems Sowmya Vajjala instant download after payment.

Publisher: O'Reilly Media, Inc.
File Extension: PDF
File size: 30.57 MB
Pages: 325
Author: Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana
ISBN: 9781492054054, 1492054054
Language: English
Year: 2020

Product desciption

Practical Natural Language Processing A Comprehensive Guide To Building Realworld Nlp Systems Sowmya Vajjala by Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana 9781492054054, 1492054054 instant download after payment.

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 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

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