Nlp

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Natural Language Processing Workshop

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Author :
language : en
Publisher:
Release Date : 2020

Natural Language Processing Workshop written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

30 Days To Nlp

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Author : Laureli Blyth
language : en
Publisher: Balboa Press
Release Date : 2016-07-20

30 Days To Nlp written by Laureli Blyth and has been published by Balboa Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-20 with Self-Help categories.

30 Days to NLP is a reader friendly introduction to Neuro Linguistic Programming. This book takes you on a thirty day exploration into the inner workings of the unconscious mind. It sheds a remarkable light on the patterns of thought, emotion and behaviours of yourself and others. Each day unfolds a new facet of NLP with explanations, practical examples and exercises that will develop both your conscious and unconscious skills of NLP. Based on the NLP Certification training provided by the Worldwide Institutes of NLP, authors and international NLP Master Trainers Laureli Blyth and Dr. Heidi Heron, Psy.D. have created a conversational, easy to understand and accessible book to anyone who has a desire to develop themselves and their knowledge of NLP.

Nlp For Managers

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Author : Harry Alder
language : en
Publisher: Piatkus Books
Release Date : 1996

Nlp For Managers written by Harry Alder and has been published by Piatkus Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Communication in management categories.

NLP, or Neuro Linguistic Programming, is the study of what behaviour works. It shows how, by following models of successful thought and behaviour in others, managers can reproduce excellence. This work shows how to master the NLP way of thinking and use it in a business context. It can be used in areas of: goal setting; leadership; selling and negotiating; problem solving; career advancement; professional creativity; public speaking; relationships and team building; learning and long-term memory; visual skills, and better communication. Throughout there are exercises, case histories and examples.

Natural Language Processing With Tensorflow

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Author : Thushan Ganegedara
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-31

Natural Language Processing With Tensorflow written by Thushan Ganegedara and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-31 with Computers categories.

Write modern natural language processing applications using deep learning algorithms and TensorFlow Key Features Focuses on more efficient natural language processing using TensorFlow Covers NLP as a field in its own right to improve understanding for choosing TensorFlow tools and other deep learning approaches Provides choices for how to process and evaluate large unstructured text datasets Learn to apply the TensorFlow toolbox to specific tasks in the most interesting field in artificial intelligence Book Description Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstructured data in today’s data streams, and apply these tools to specific NLP tasks. Thushan Ganegedara starts by giving you a grounding in NLP and TensorFlow basics. You'll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms. Chapters on classical deep learning algorithms, like convolutional neural networks (CNN) and recurrent neural networks (RNN), demonstrate important NLP tasks as sentence classification and language generation. You will learn how to apply high-performance RNN models, like long short-term memory (LSTM) cells, to NLP tasks. You will also explore neural machine translation and implement a neural machine translator. After reading this book, you will gain an understanding of NLP and you'll have the skills to apply TensorFlow in deep learning NLP applications, and how to perform specific NLP tasks. What you will learn Core concepts of NLP and various approaches to natural language processing How to solve NLP tasks by applying TensorFlow functions to create neural networks Strategies to process large amounts of data into word representations that can be used by deep learning applications Techniques for performing sentence classification and language generation using CNNs and RNNs About employing state-of-the art advanced RNNs, like long short-term memory, to solve complex text generation tasks How to write automatic translation programs and implement an actual neural machine translator from scratch The trends and innovations that are paving the future in NLP Who this book is for This book is for Python developers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks. Fundamental Python skills are assumed, as well as some knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required, although some background in NLP or computational linguistics will be helpful.

You Must Learn Nlp

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Author : Dr. Heidi Heron PsyD
language : en
Publisher: Balboa Press
Release Date : 2017-12-05

You Must Learn Nlp written by Dr. Heidi Heron PsyD and has been published by Balboa Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-05 with Self-Help categories.

Curious about NLP? Want to know how it can help you? This book answers the most pressing questions we receive about Neuro Linguistic Programming and takes you on a journey that highlights how you can use NLP in personal development, communication, business, health and other aspects of life. With NLP you can improve your leadership skills, create better relationships, become a better parent and friend and even work with others as a coach or therapist. In fact, whatever area of your life needs improvement NLP will give you the tools that you can easily learn to make massive changes in your life. This book is written by Dr. Heidi Heron PsyD and Laureli Blyth, NLP Master Trainers with the Worldwide Institutes of NLP (www.nlpworldwide.com). They have a great passion for sharing NLP globally while also helping to empower, enlighten and enhance the world with NLP one person at a time. Based on their blog of the same name and written in their signature conversational style, this book gives you 156 reasons why you really Must Learn NLP.

Transfer Learning For Natural Language Processing

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Author : Paul Azunre
language : en
Publisher: Simon and Schuster
Release Date : 2021-08-31

Transfer Learning For Natural Language Processing written by Paul Azunre and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with Computers categories.

Build custom NLP models in record time by adapting pre-trained machine learning models to solve specialized problems. Summary In Transfer Learning for Natural Language Processing you will learn: Fine tuning pretrained models with new domain data Picking the right model to reduce resource usage Transfer learning for neural network architectures Generating text with generative pretrained transformers Cross-lingual transfer learning with BERT Foundations for exploring NLP academic literature Training deep learning NLP models from scratch is costly, time-consuming, and requires massive amounts of data. In Transfer Learning for Natural Language Processing, DARPA researcher Paul Azunre reveals cutting-edge transfer learning techniques that apply customizable pretrained models to your own NLP architectures. You’ll learn how to use transfer learning to deliver state-of-the-art results for language comprehension, even when working with limited label data. Best of all, you’ll save on training time and computational costs. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Build custom NLP models in record time, even with limited datasets! Transfer learning is a machine learning technique for adapting pretrained machine learning models to solve specialized problems. This powerful approach has revolutionized natural language processing, driving improvements in machine translation, business analytics, and natural language generation. About the book Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions quickly by building on existing pretrained models. This instantly useful book provides crystal-clear explanations of the concepts you need to grok transfer learning along with hands-on examples so you can practice your new skills immediately. As you go, you’ll apply state-of-the-art transfer learning methods to create a spam email classifier, a fact checker, and more real-world applications. What's inside Fine tuning pretrained models with new domain data Picking the right model to reduce resource use Transfer learning for neural network architectures Generating text with pretrained transformers About the reader For machine learning engineers and data scientists with some experience in NLP. About the author Paul Azunre holds a PhD in Computer Science from MIT and has served as a Principal Investigator on several DARPA research programs. Table of Contents PART 1 INTRODUCTION AND OVERVIEW 1 What is transfer learning? 2 Getting started with baselines: Data preprocessing 3 Getting started with baselines: Benchmarking and optimization PART 2 SHALLOW TRANSFER LEARNING AND DEEP TRANSFER LEARNING WITH RECURRENT NEURAL NETWORKS (RNNS) 4 Shallow transfer learning for NLP 5 Preprocessing data for recurrent neural network deep transfer learning experiments 6 Deep transfer learning for NLP with recurrent neural networks PART 3 DEEP TRANSFER LEARNING WITH TRANSFORMERS AND ADAPTATION STRATEGIES 7 Deep transfer learning for NLP with the transformer and GPT 8 Deep transfer learning for NLP with BERT and multilingual BERT 9 ULMFiT and knowledge distillation adaptation strategies 10 ALBERT, adapters, and multitask adaptation strategies 11 Conclusions

Nlp

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Author : NLP Comprehensive Training Team
language : en
Publisher: Harper Collins
Release Date : 2011-08-16

Nlp written by NLP Comprehensive Training Team and has been published by Harper Collins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-16 with Self-Help categories.

NLP has already helped millions of people overcome fears, increase confidence, enrich relationships, and achieve greater sucess. Now the NLP Comprehensive Training Team has written a book that reveals how to use this breakthrough technology to achieve whatever you want. Short for neuro-linguistic programming, NLP is a revolutionary approach to human communication and development. In NLP: The New Technology of Achievement, you'll be guided step-by-step through specific programs for learning the characeristics of top achievers and creating a blueprint for unlimited sucess. Plus, an all-new twenty-one-day program created especially for this book provides you with the essential skills you'll need to achieve peak performance in business and life.

The Spirit Of Nlp

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Author : L Michael Hall
language : en
Publisher: Crown House Publishing
Release Date : 1996-08-22

The Spirit Of Nlp written by L Michael Hall and has been published by Crown House Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-22 with Psychology categories.

This fully revised edition brings you a brilliant Richard Bandler master training and significant contributions from Eric Robbie, Wyatt Woodsmall, Tad James, Christina Hall and the late Will MacDonald. "No other book covers this breadth of NLP Master Practitioner material." Frank Daniels, NLP trainer

Deep Learning For Natural Language Processing

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Author : Karthiek Reddy Bokka
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-06-11

Deep Learning For Natural Language Processing written by Karthiek Reddy Bokka and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with Computers categories.

Gain the knowledge of various deep neural network architectures and their application areas to conquer your NLP issues. Key FeaturesGain insights into the basic building blocks of natural language processingLearn how to select the best deep neural network to solve your NLP problemsExplore convolutional and recurrent neural networks and long short-term memory networksBook Description Applying deep learning approaches to various NLP tasks can take your computational algorithms to a completely new level in terms of speed and accuracy. Deep Learning for Natural Language Processing starts off by highlighting the basic building blocks of the natural language processing domain. The book goes on to introduce the problems that you can solve using state-of-the-art neural network models. After this, delving into the various neural network architectures and their specific areas of application will help you to understand how to select the best model to suit your needs. As you advance through this deep learning book, you’ll study convolutional, recurrent, and recursive neural networks, in addition to covering long short-term memory networks (LSTM). Understanding these networks will help you to implement their models using Keras. In the later chapters, you will be able to develop a trigger word detection application using NLP techniques such as attention model and beam search. By the end of this book, you will not only have sound knowledge of natural language processing but also be able to select the best text pre-processing and neural network models to solve a number of NLP issues. What you will learnUnderstand various pre-processing techniques for deep learning problemsBuild a vector representation of text using word2vec and GloVeCreate a named entity recognizer and parts-of-speech tagger with Apache OpenNLPBuild a machine translation model in KerasDevelop a text generation application using LSTMBuild a trigger word detection application using an attention modelWho this book is for If you’re an aspiring data scientist looking for an introduction to deep learning in the NLP domain, this is just the book for you. Strong working knowledge of Python, linear algebra, and machine learning is a must.

The Nlp Workbook

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Author : Judy Bartkowiak
language : en
Publisher: Hachette UK
Release Date : 2017-11-02

The Nlp Workbook written by Judy Bartkowiak and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-02 with Self-Help categories.

Teach Yourself about Neuro-Lingustic Programming and how it can help you get ahead. Do you want to use the power of NLP to supercharge every aspect of your life? Do you want to understand how to create instant rapport with anyone? Do you want to be able to effectively emulate the skills of the people you respect the most? This Teach Yourself Workbook doesn't just tell you how to use NLP. It accompanies you every step of the way, with diagnostic tools, goal-setting charts, practical exercises, and many more features ideal for people who want a more active style of learning. The book starts by helping you identify your own preferred styles of learning and communication. It then helps you set specific goals to improve on; as you progress through the book, you will be able to keep checking your progress against these goals. Specially created exercises, using the tools and techniques of NLP, will help you boost your skills and communication so that you can reach your potential in any situation.