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Practical Natural Language Processing is a comprehensive guide for building, iterating, and scaling NLP systems. It helps practitioners tailor NLP solutions for various industry verticals, offering practical advice and real-world examples.
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Practical Natural Language Processing is a book designed for software engineers, data scientists, machine learning engineers, product managers, and business leaders looking to build and scale real-world NLP systems. It guides readers through the process of implementing and evaluating different NLP applications using machine learning and deep learning methods. The book covers how to fine-tune NLP solutions for specific business problems and industry verticals, including healthcare, social media, and retail. It also provides insights into best practices for release, deployment, and DevOps in NLP systems, along with a roadmap for business and product leaders. Endorsed by experts from Google, Amazon, and Microsoft, this book offers practical advice and a compendium of over 450 references.
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