How to Manage with NLP 3e
How to Manage with NLP 3e

Author: David Molden

Publisher: Pearson UK

Published: 2012-10-12

Total Pages: 179

ISBN-13: 0273745670

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With NLP you can achieve even greater success as a manager. Whether you need to improve your communication, develop your strategic planning or nurture your creative thinking, NLP gives you the tools to dramatically improve your performance as a manager or a leader. NLP has been used for years to help busy managers and leaders all over the world boost their communication skills and get the best out of their teams, time after time. Now it’s your turn to discover the most effective tool for managers on the planet. Inside you’ll discover how to: ̈ Develop trust, rapport and credibility with your team and clients ̈ Handle every managerial challenge effectively ̈ Develop long-lasting relationships that will take you and your team from strength to strength Now in its third edition How to Manage with NLP contains all the background, concepts and techniques you’ll ever need along with practical exercises to ensure you get develop a thorough grounding and understanding. Are you ready to be amazed and amazing? Read on! “This is a ‘must have’ book for any leader interested in improving their capabilities in engaging with people, teambuilding and managing change.” David R. Steele, Managing Director, International Paper Ireland “David Molden is a master of both NLP and management.” Wyatt Woodsmall PhD, The National Training Institute for NLP “An amazing array of essential topics with plenty of practical examples and applications of NLP to management and business.” Marvin Oka, NLP Master Trainer, The International NLP Trainers Association

How to Manage with NLP, 3rd Edition
How to Manage with NLP, 3rd Edition

Author: David Molden

Publisher:

Published: 2011

Total Pages: 264

ISBN-13:

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With NLP you can achieve even greater success as a manager. Whether you need to improve your communication, develop your strategic planning or nurture your creative thinking, NLP gives you the tools to dramatically improve your performance as a manager or a leader. NLP has been used for years to help busy managers and leaders all over the world boost their communication skills and get the best out of their teams, time after time. Now itņs your turn to discover the most effective tool for managers on the planet. Inside youņll discover how to: ̈ Develop trust, rapport and credibility with your team and clients ̈ Handle every managerial challenge effectively ̈ Develop long-lasting relationships that will take you and your team from strength to strength Now in its third edition How to Manage with NLP contains all the background, concepts and techniques youņll ever need along with practical exercises to ensure you get develop a thorough grounding and understanding. Are you ready to be amazed and amazing? Read on! ŇThis is a Ņmust haveņ book for any leader interested in improving their capabilities in engaging with people, teambuilding and managing change.ň David R. Steele, Managing Director, International Paper Ireland 𔟚vid Molden is a master of both NLP and management.ň Wyatt Woodsmall PhD, The National Training Institute for NLP ᑺn amazing array of essential topics with plenty of practical examples and applications of NLP to management and business.ň Marvin Oka, NLP Master Trainer, The International NLP Trainers Association.

Managing with the Power of NLP
Managing with the Power of NLP

Author: David Molden

Publisher: Financial Times/Prentice Hall

Published: 1996

Total Pages: 259

ISBN-13: 9780273620631

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NLP (Neuro-Linguistic Programming) harnesses the interaction between the brain and the body which produces our behavior. It involves knowing your outcome--defining what you want positively; taking action; having a strategy and setting standards; sensory activity--noticing; behavioral flexibility; and modeling--discerning the behaviors that enable you to accomplish a task.

Practical Natural Language Processing
Practical Natural Language Processing

Author: Sowmya Vajjala

Publisher: O'Reilly Media

Published: 2020-06-17

Total Pages: 455

ISBN-13: 149205402X

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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

NLP
NLP

Author: Tom Hoobyar

Publisher: Harper Collins

Published: 2013-02-12

Total Pages: 488

ISBN-13: 0062083627

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By the team behind the bestselling NLP: The New Technology of Achievement comes an essential new guide to NLP techniques—for self-development and influencing others—in a focused, step-by-step handbook. NLP (Neuro-Linguistic Programming) has already helped millions of people overcome fears, increase confidence, enrich relationships, and achieve greater success. Now, from the company and training team behind NLP: The New Technology of Achievement, one of the bestselling NLP books of all time, comes NLP: The Essential Guide to Neuro-Linguistic Programming \. Written by three NLP Master Practitioners and training coaches, including the president of NLP Comprehensive, with an introduction from the President of NLP Comprehensive, NLP: The Essential Guide to Neuro-Linguistic Programming guides users to peak performance in business and life, and gets specific results. In twelve illuminating sections, NLP: The Essential Guide to Neuro-Linguistic Programming leads you through dozens of “discoveries”—revelations of NLP practice that enable you to explore your own personal thinking patterns, to manage them—and to transform them. Divided into two categories, “All About You” and “All About the Other Guy,” these strategies offer a personal and interpersonal program that frees you to become better at managing your feelings instead of being dominated by them, managing your motivations, being less judgmental, more productive, more confident, more flexible, more persuasive, liked, and respected. Chapters on “Personal Remodeling” (Discovery 9: No inner enemy) and “Secrets of Making Your Point” (Discovery 31: Convey understanding and safety without talking), enhance creativity, collaboration, cooperation, and communication. Through “mind reading” techniques—non-verbal communication, and “hearing what’s missing”—learn the secrets of relating with others, understanding how they are thinking—and influencing them. A streamlined all-purpose guide for both newcomers and NLP veterans, NLP: The Essential Guide to Neuro-Linguistic Programming is the new all-in-one, eye-opening blueprint for your own ultimate success.

Deep Learning for NLP and Speech Recognition
Deep Learning for NLP and Speech Recognition

Author: Uday Kamath

Publisher: Springer

Published: 2019-06-10

Total Pages: 640

ISBN-13: 3030145964

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This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.

Multilingual Natural Language Processing Applications
Multilingual Natural Language Processing Applications

Author: Daniel Bikel

Publisher: IBM Press

Published: 2012-05-11

Total Pages: 829

ISBN-13: 0137047819

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Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today’s best algorithms for attacking them Processing the diverse morphologies present in the world’s languages Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality Recognizing inferences, subjectivity, and opinion polarity Managing key algorithmic and design tradeoffs in real-world applications Extracting information via mention detection, coreference resolution, and events Building large-scale systems for machine translation, information retrieval, and summarization Answering complex questions through distillation and other advanced techniques Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management Constructing common infrastructure for multiple multilingual text processing applications This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.