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. Youâ ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.
With this book, youâ 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
- Understand best practices, opportunities, and the roadmap for NLP from a business and product leaderâ s perspective
Author: Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta
Binding Type: Paperback
Publisher: O’Reilly Media
Published: 07/21/2020
Pages: 454
Weight: 1.59lbs
Size: 9.19h x 7.00w x 0.92d
ISBN: 9781492054054
Language: English
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