Practical Nlp For Managers


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Practical NLP for Managers


Practical NLP for Managers

Author: Ian McDermott

language: en

Publisher: Gower Publishing, Ltd.

Release Date: 1996


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NLP (Neuro-Linguistic Programming) is a powerful communication skills tool for every manager who wants to improve their powers of persuasion and leadership. There are many books setting out the relevant techniques; this is the first to show them at work in a practical management setting. The authors, both of them experienced NLP trainers, look in turn at each of the key elements in the management process and show how NLP can help. They explain- how to capture other people's attention and trust - how to motivate - how to use language (including body language) to maximum effect - how to handle staff appraisals - how to develop a consistent set of organizational values.

Practical NLP for Managers


Practical NLP for Managers

Author: Ian McDermott

language: en

Publisher:

Release Date: 1996


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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