Mastering Natural Language Processing with Python

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Author :
Publisher : Packt Publishing
ISBN 13 : 9781783989041
Total Pages : 238 pages
Book Rating : 4.9/5 (89 download)

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Book Synopsis Mastering Natural Language Processing with Python by : Deepti Chopra

Download or read book Mastering Natural Language Processing with Python written by Deepti Chopra and published by Packt Publishing. This book was released on 2016-06-10 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maximize your NLP capabilities while creating amazing NLP projects in PythonAbout This Book* Learn to implement various NLP tasks in Python* Gain insights into the current and budding research topics of NLP* This is a comprehensive step-by-step guide to help students and researchers create their own projects based on real-life applicationsWho This Book Is ForThis book is for intermediate level developers in NLP with a reasonable knowledge level and understanding of Python.What You Will Learn* Implement string matching algorithms and normalization techniques* Implement statistical language modeling techniques* Get an insight into developing a stemmer, lemmatizer, morphological analyzer, and morphological generator* Develop a search engine and implement POS tagging concepts and statistical modeling concepts involving the n gram approach* Familiarize yourself with concepts such as the Treebank construct, CFG construction, the CYK Chart Parsing algorithm, and the Earley Chart Parsing algorithm* Develop an NER-based system and understand and apply the concepts of sentiment analysis* Understand and implement the concepts of Information Retrieval and text summarization* Develop a Discourse Analysis System and Anaphora Resolution based systemIn DetailNatural Language Processing is one of the fields of computational linguistics and artificial intelligence that is concerned with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning.This book will give you expertise on how to employ various NLP tasks in Python, giving you an insight into the best practices when designing and building NLP-based applications using Python. It will help you become an expert in no time and assist you in creating your own NLP projects using NLTK.You will sequentially be guided through applying machine learning tools to develop various models. We'll give you clarity on how to create training data and how to implement major NLP applications such as Named Entity Recognition, Question Answering System, Discourse Analysis, Transliteration, Word Sense disambiguation, Information Retrieval, Sentiment Analysis, Text Summarization, and Anaphora Resolution.

Mastering NLP

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Author :
Publisher : BookRix
ISBN 13 : 3736869150
Total Pages : 48 pages
Book Rating : 4.7/5 (368 download)

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Book Synopsis Mastering NLP by : Donna McCullough

Download or read book Mastering NLP written by Donna McCullough and published by BookRix. This book was released on 2019-06-28 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: NLP or the Neuro Linguistic Programming is an education program that involves both human senses and their communication methods. This can greatly help individuals in developing new essential behaviors and habits. This is all about learning prejudiced experiences. It can also be about discovering how individuals create their experiences inside their mind and how can they exactly go after developing new learning and behaviors that can be very necessary to enhance their living. This programming is one of a kind as compared to various studies with regards to the behavior of human since it is focused on replicating and learning talents. This only means that mastering the NLP program can greatly help individuals in developing themselves into more determined and responsible person. This can also help people in using and further developing their mental and physical talent.

Introduction to Natural Language Processing

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Author :
Publisher : MIT Press
ISBN 13 : 0262042843
Total Pages : 535 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Introduction to Natural Language Processing by : Jacob Eisenstein

Download or read book Introduction to Natural Language Processing written by Jacob Eisenstein and published by MIT Press. This book was released on 2019-10-01 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

Mastering NLP

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Author :
Publisher : Litres
ISBN 13 : 504186053X
Total Pages : 43 pages
Book Rating : 4.0/5 (418 download)

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Book Synopsis Mastering NLP by : Nishant Baxi

Download or read book Mastering NLP written by Nishant Baxi and published by Litres. This book was released on 2022-05-15 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: The NLP systems provides for the circumstances to develop the individual excellence levels while also establishing the empowering belief of a particular system.

Mastering NLP from Foundations to LLMs

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Publisher : Packt Publishing Ltd
ISBN 13 : 1804616389
Total Pages : 340 pages
Book Rating : 4.8/5 (46 download)

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Book Synopsis Mastering NLP from Foundations to LLMs by : Lior Gazit

Download or read book Mastering NLP from Foundations to LLMs written by Lior Gazit and published by Packt Publishing Ltd. This book was released on 2024-04-26 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends Key Features Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT Master embedding techniques and machine learning principles for real-world applications Understand the mathematical foundations of NLP and deep learning designs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDo you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.What you will learn Master the mathematical foundations of machine learning and NLP Implement advanced techniques for preprocessing text data and analysis Design ML-NLP systems in Python Model and classify text using traditional machine learning and deep learning methods Understand the theory and design of LLMs and their implementation for various applications in AI Explore NLP insights, trends, and expert opinions on its future direction and potential Who this book is for This book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book.

Deep Learning for NLP and Speech Recognition

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Author :
Publisher : Springer
ISBN 13 : 3030145964
Total Pages : 640 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Deep Learning for NLP and Speech Recognition by : Uday Kamath

Download or read book Deep Learning for NLP and Speech Recognition written by Uday Kamath and published by Springer. This book was released on 2019-06-10 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Natural Language Processing in Action

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Author :
Publisher : Simon and Schuster
ISBN 13 : 1638356890
Total Pages : 798 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Natural Language Processing in Action by : Hannes Hapke

Download or read book Natural Language Processing in Action written by Hannes Hapke and published by Simon and Schuster. This book was released on 2019-03-16 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. About the Book Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. What's inside Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines About the Reader This book requires a basic understanding of deep learning and intermediate Python skills. About the Author Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Table of Contents PART 1 - WORDY MACHINES Packets of thought (NLP overview) Build your vocabulary (word tokenization) Math with words (TF-IDF vectors) Finding meaning in word counts (semantic analysis) PART 2 - DEEPER LEARNING (NEURAL NETWORKS) Baby steps with neural networks (perceptrons and backpropagation) Reasoning with word vectors (Word2vec) Getting words in order with convolutional neural networks (CNNs) Loopy (recurrent) neural networks (RNNs) Improving retention with long short-term memory networks Sequence-to-sequence models and attention PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES) Information extraction (named entity extraction and question answering) Getting chatty (dialog engines) Scaling up (optimization, parallelization, and batch processing)

The User's Manual for the Brain Volume II

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Publisher : Crown House Publishing
ISBN 13 : 1845903838
Total Pages : 464 pages
Book Rating : 4.8/5 (459 download)

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Book Synopsis The User's Manual for the Brain Volume II by : L Michael Hall

Download or read book The User's Manual for the Brain Volume II written by L Michael Hall and published by Crown House Publishing. This book was released on 2002-03-26 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This much anticipated volume continues the tradition of Volume I, the Practitioner course manual. The authors now invite you to reach beyond Practitioner to Master level to develop the very spirit of NLP. "... the quintessential self-study course on advanced NLP." Judith E. Pearson PhD

Natural Language Processing with Python

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Author :
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596555717
Total Pages : 506 pages
Book Rating : 4.5/5 (965 download)

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Book Synopsis Natural Language Processing with Python by : Steven Bird

Download or read book Natural Language Processing with Python written by Steven Bird and published by "O'Reilly Media, Inc.". This book was released on 2009-06-12 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

Mastering Natural Language Processing

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Author :
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 236 pages
Book Rating : 4.8/5 (76 download)

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Book Synopsis Mastering Natural Language Processing by : Cybellium Ltd

Download or read book Mastering Natural Language Processing written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveil the Secrets of Language Understanding and Generation In the realm of artificial intelligence and communication, Natural Language Processing (NLP) stands as a transformative force that bridges the gap between humans and machines. "Mastering Natural Language Processing" is your definitive guide to comprehending and harnessing the potential of this dynamic field, empowering you to create intelligent language-based applications with precision. About the Book: As technology evolves, the ability to understand and generate human language becomes increasingly essential. "Mastering Natural Language Processing" offers a comprehensive exploration of NLP—a crucial discipline in the world of AI and communication. This book caters to both beginners and experienced learners aiming to excel in NLP concepts, techniques, and applications. Key Features: NLP Fundamentals: Begin by understanding the core principles of Natural Language Processing. Learn about linguistic concepts, tokenization, and language models. Text Classification and Sentiment Analysis: Dive into text analysis techniques. Explore methods for classifying text and determining sentiment, enabling you to understand user opinions and emotions. Named Entity Recognition: Grasp the art of identifying entities in text. Understand how to extract names, places, dates, and other crucial information from unstructured data. Language Generation: Explore techniques for generating human-like language. Learn how to create chatbots, language models, and automated content. Machine Translation: Understand the significance of machine translation. Learn how to build systems that translate text between languages with accuracy. Speech Recognition: Delve into the realm of speech recognition. Explore techniques for converting spoken language into text, enabling voice interfaces and transcription. Question Answering Systems: Grasp the power of question-answering systems. Learn how to build applications that provide answers to user questions based on available data. Real-World Applications: Gain insights into how NLP is applied across industries. From customer service to healthcare, discover the diverse applications of natural language processing. Why This Book Matters: In an age of communication and interaction, mastering NLP offers a competitive advantage. "Mastering Natural Language Processing" empowers data scientists, developers, and technology enthusiasts to leverage NLP concepts, enabling them to create intelligent language-based applications that enhance user experiences and drive innovation. Revolutionize Communication with AI: In the landscape of artificial intelligence, Natural Language Processing is transforming how humans and machines interact. "Mastering Natural Language Processing" equips you with the knowledge needed to leverage NLP concepts, enabling you to create intelligent language-based applications that bridge communication gaps and redefine possibilities. Whether you're a seasoned practitioner or new to the world of NLP, this book will guide you in building a solid foundation for effective language-based solutions. Your journey to mastering Natural Language Processing starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Mastering spaCy

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1800561121
Total Pages : 356 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Mastering spaCy by : Duygu Altinok

Download or read book Mastering spaCy written by Duygu Altinok and published by Packt Publishing Ltd. This book was released on 2021-07-09 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build end-to-end industrial-strength NLP models using advanced morphological and syntactic features in spaCy to create real-world applications with ease Key FeaturesGain an overview of what spaCy offers for natural language processingLearn details of spaCy's features and how to use them effectivelyWork through practical recipes using spaCyBook Description spaCy is an industrial-grade, efficient NLP Python library. It offers various pre-trained models and ready-to-use features. Mastering spaCy provides you with end-to-end coverage of spaCy's features and real-world applications. You'll begin by installing spaCy and downloading models, before progressing to spaCy's features and prototyping real-world NLP apps. Next, you'll get familiar with visualizing with spaCy's popular visualizer displaCy. The book also equips you with practical illustrations for pattern matching and helps you advance into the world of semantics with word vectors. Statistical information extraction methods are also explained in detail. Later, you'll cover an interactive business case study that shows you how to combine all spaCy features for creating a real-world NLP pipeline. You'll implement ML models such as sentiment analysis, intent recognition, and context resolution. The book further focuses on classification with popular frameworks such as TensorFlow's Keras API together with spaCy. You'll cover popular topics, including intent classification and sentiment analysis, and use them on popular datasets and interpret the classification results. By the end of this book, you'll be able to confidently use spaCy, including its linguistic features, word vectors, and classifiers, to create your own NLP apps. What you will learnInstall spaCy, get started easily, and write your first Python scriptUnderstand core linguistic operations of spaCyDiscover how to combine rule-based components with spaCy statistical modelsBecome well-versed with named entity and keyword extractionBuild your own ML pipelines using spaCyApply all the knowledge you've gained to design a chatbot using spaCyWho this book is for This book is for data scientists and machine learners who want to excel in NLP as well as NLP developers who want to master spaCy and build applications with it. Language and speech professionals who want to get hands-on with Python and spaCy and software developers who want to quickly prototype applications with spaCy will also find this book helpful. Beginner-level knowledge of the Python programming language is required to get the most out of this book. A beginner-level understanding of linguistics such as parsing, POS tags, and semantic similarity will also be useful.

NLP Mastering Program

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Author :
Publisher : 大賢者外語
ISBN 13 :
Total Pages : 53 pages
Book Rating : 4./5 ( download)

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Book Synopsis NLP Mastering Program by : RD king

Download or read book NLP Mastering Program written by RD king and published by 大賢者外語. This book was released on with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Life You’ve Always Wanted Using The Most Effective NLP Techniques! Is the fact that you would like to learn about NLP but just don't know how making your life difficult... maybe even miserable? First, you are NOT alone! It may seem like it sometimes, but not knowing how to get better your skills is far more common than you’d think. Your lack of knowledge in this area may not be your fault, but that doesn’t mean that you shouldn’t -- or can’t -- do anything to find out everything you need to know to finally be a success! So today -- in the next FEW MINUTES, in fact -- we’re going to help you GET ON TRACK, and learn how you can quickly and easily get your skills under control... for GOOD! This Book Below Will Show You Exactly What You Need To Do To Finally Have All NLP Mastering Skill that You Need! In This Book, You Will Learn: How NLP can transform your life Be an excellent communicator with NLP Read The Other Person With NLP Eye Movement Understanding NLP Meta Model Anchoring Your Way To A Success State Of Mind

Mastering Transformers

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Publisher : Packt Publishing Ltd
ISBN 13 : 1801078890
Total Pages : 374 pages
Book Rating : 4.8/5 (1 download)

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Book Synopsis Mastering Transformers by : Savaş Yıldırım

Download or read book Mastering Transformers written by Savaş Yıldırım and published by Packt Publishing Ltd. This book was released on 2021-09-15 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLP Key Features Explore quick prototyping with up-to-date Python libraries to create effective solutions to industrial problems Solve advanced NLP problems such as named-entity recognition, information extraction, language generation, and conversational AI Monitor your model's performance with the help of BertViz, exBERT, and TensorBoard Book DescriptionTransformer-based language models have dominated natural language processing (NLP) studies and have now become a new paradigm. With this book, you'll learn how to build various transformer-based NLP applications using the Python Transformers library. The book gives you an introduction to Transformers by showing you how to write your first hello-world program. You'll then learn how a tokenizer works and how to train your own tokenizer. As you advance, you'll explore the architecture of autoencoding models, such as BERT, and autoregressive models, such as GPT. You'll see how to train and fine-tune models for a variety of natural language understanding (NLU) and natural language generation (NLG) problems, including text classification, token classification, and text representation. This book also helps you to learn efficient models for challenging problems, such as long-context NLP tasks with limited computational capacity. You'll also work with multilingual and cross-lingual problems, optimize models by monitoring their performance, and discover how to deconstruct these models for interpretability and explainability. Finally, you'll be able to deploy your transformer models in a production environment. By the end of this NLP book, you'll have learned how to use Transformers to solve advanced NLP problems using advanced models.What you will learn Explore state-of-the-art NLP solutions with the Transformers library Train a language model in any language with any transformer architecture Fine-tune a pre-trained language model to perform several downstream tasks Select the right framework for the training, evaluation, and production of an end-to-end solution Get hands-on experience in using TensorBoard and Weights & Biases Visualize the internal representation of transformer models for interpretability Who this book is for This book is for deep learning researchers, hands-on NLP practitioners, as well as ML/NLP educators and students who want to start their journey with Transformers. Beginner-level machine learning knowledge and a good command of Python will help you get the best out of this book.

NLP Mastering Program

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Author :
Publisher : Editora Bibliomundi
ISBN 13 : 1526044854
Total Pages : 50 pages
Book Rating : 4.5/5 (26 download)

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Book Synopsis NLP Mastering Program by : Rhonda Arns

Download or read book NLP Mastering Program written by Rhonda Arns and published by Editora Bibliomundi. This book was released on 2022-03-09 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like many people, you probably are unhappy because you feel you are not accomplishing the things you like to do in life. Of course, you have done your bit like reading some e-books on how you can achieve your goals only to end up even more frustrated because they did not do anything for you. Perhaps it’s time for you to look for other resources, one that provides clarity to you goals and eliminates doubts that you can achieve them. Get all the info you need here.

Mastering the NLP Communication Model

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Author :
Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.5/5 (415 download)

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Book Synopsis Mastering the NLP Communication Model by : Dr Tim Brunson

Download or read book Mastering the NLP Communication Model written by Dr Tim Brunson and published by . This book was released on 2021-07-21 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of NLP (Neuro-Linguistic Programming) started in the 1970's but has continually evolved thanks to numerous developers over the years. This book starts with the core concept, which is the NLP Communication Model, upon which this system of human change is based. Starting with a simple concept of how a person filters their perceptions and how that affects their mind, individuals, coaches, and mental health professionals have used NLP to overcome fears and limitations, increase confidence, and move toward a more successful life. This is the first in a series of concise short-read books are designed for those who want to benefit from this system of human transformation but lack time to master the vast wealth of theories and techniques that this field offers. It was written by Dr. Tim Brunson, who is both a Master Practitioner as well as a Certified Trainer for all NLP levels, including trainers. An accomplished clinical hypnotherapist, he is the founder of The International Hypnosis Research Institute, written extensively about how the hypnosis can be used to change a person's mind, body, and performance. He has taught medical, mental health, and coaches from all over the world. This is Book 1 of the Neuro-Linguistic Programming Basics series.

Coaching with NLP

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Author :
Publisher : HarperCollins UK
ISBN 13 : 0007151225
Total Pages : 225 pages
Book Rating : 4.0/5 (71 download)

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Book Synopsis Coaching with NLP by : Joseph O'Connor

Download or read book Coaching with NLP written by Joseph O'Connor and published by HarperCollins UK. This book was released on 2004 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to using NLP in business and life coaching from NLP expert Joseph O'Connor.

Nlp Self Mastery

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Author :
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781719008198
Total Pages : 804 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Nlp Self Mastery by : Modern Psychology Publishing

Download or read book Nlp Self Mastery written by Modern Psychology Publishing and published by Createspace Independent Publishing Platform. This book was released on 2018-05-17 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: ★★★ Buy the Paperback version of this book and get the Kindle eBook version included for FREE ★★★Are you tired of being stuck in the same negative habits, but don't know how to change? Do you feel like old fears and unnecessary limitations and are holding you back from getting extraordinary results in your life, but you don't know how to break free? If you answered 'yes'; to any of these questions, Neuro Linguistic Programming may be just what you need to create drastic positive change in your life. You have the power to rewrite your habits! If you want to feel amazing, both physically and mentally, NLP is a perfect way to chart your way to a happier, healthier life. Believe it or not, NLP is extremely simple to learn - you just need to know how. Become the master of your psychology with the NLP Self Mastery Mega Bundle! This book contains 12 manuscripts to help you master your psychology. This book is highly actionable, with step-by-step exercises for each technique and a Free Workbooks included, to guide you on your journey of self-mastery. Stop engaging in negative thought patterns of limitation. When you change your thought patterns, you change your state of mind. Get in touch with your psychology and create more success in your life than you ever thought possible! So what are you waiting for Pick up a copy of NLP Self Mastery 12 Book Mega Bundle today and start to transform your life with these powerful NLP techniques!! Click the BUY NOW button at the top of this page!