A Practical Guide To Nlp For Work


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NLP Workbook: A practical guide to achieving the results you want


NLP Workbook: A practical guide to achieving the results you want

Author: Joseph O’Connor

language: en

Publisher: HarperCollins UK

Release Date: 2014-04-10


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A practical, creative guidebook to achieving the results you want using Neuro Linguistinc Programming techniques, now in e-book form.

A Practical Guide to NLP for Work


A Practical Guide to NLP for Work

Author: Dianne Lowther

language: en

Publisher: Icon Books Ltd

Release Date: 2012-04-05


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Neurolinguistic Programming is about helping you to identify and develop the patterns of thought and behaviour which are most beneficial to you. Introducing NLP for Work teaches you how to build a successful rapport with your colleagues, enabling you to deal effectively with any problems and master any situation.

Practical Natural Language Processing


Practical Natural Language Processing

Author: Sowmya Vajjala

language: en

Publisher: O'Reilly Media

Release Date: 2020-06-17


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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 Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective